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1. Large-scale analysis of structural brain asymmetries in schizophrenia via the ENIGMA consortium.

Author: Schijven, Dick, Postema, Merel C, Fukunaga, Masaki, Matsumoto, Junya, Miura, Kenichiro, de Zwarte, Sonja MC, van Haren, Neeltje EM, Cahn, Wiepke, Hulshoff Pol, Hilleke E, Kahn, René S, Ayesa-Arriola, Rosa, Ortiz-García de la Foz, Víctor, Tordesillas-Gutierrez, Diana, Vázquez-Bourgon, Javier, Crespo-Facorro, Benedicto, Alnæs, Dag, Dahl, Andreas, Westlye, Lars T, Agartz, Ingrid, Andreassen, Ole A, Jönsson, Erik G, Kochunov, Peter, Bruggemann, Jason M, Catts, Stanley V, Michie, Patricia T, Mowry, Bryan J, Quidé, Yann, Rasser, Paul E, Schall, Ulrich, Scott, Rodney J, Carr, Vaughan J, Green, Melissa J, Henskens, Frans A, Loughland, Carmel M, Pantelis, Christos, Weickert, Cynthia Shannon, Weickert, Thomas W, de Haan, Lieuwe, Brosch, Katharina, Pfarr, Julia-Katharina, Ringwald, Kai G, Stein, Frederike, Jansen, Andreas, Kircher, Tilo TJ, Nenadić, Igor, Krämer, Bernd, Gruber, Oliver, Satterthwaite, Theodore D, Bustillo, Juan, Mathalon, Daniel H, Preda, Adrian, Calhoun, Vince D, Ford, Judith M, Potkin, Steven G, Chen, Jingxu, Tan, Yunlong, Wang, Zhiren, Xiang, Hong, Fan, Fengmei, Bernardoni, Fabio, Ehrlich, Stefan, Fuentes-Claramonte, Paola, Garcia-Leon, Maria Angeles, Guerrero-Pedraza, Amalia, Salvador, Raymond, Sarró, Salvador, Pomarol-Clotet, Edith, Ciullo, Valentina, Piras, Fabrizio, Vecchio, Daniela, Banaj, Nerisa, Spalletta, Gianfranco, Michielse, Stijn, van Amelsvoort, Therese, Dickie, Erin W, Voineskos, Aristotle N, Sim, Kang, Ciufolini, Simone, Dazzan, Paola, Murray, Robin M, Kim, Woo-Sung, Chung, Young-Chul, Andreou, Christina, Schmidt, André, Borgwardt, Stefan, McIntosh, Andrew M, Whalley, Heather C, Lawrie, Stephen M, du Plessis, Stefan, Luckhoff, Hilmar K, Scheffler, Freda, Emsley, Robin, Grotegerd, Dominik, Lencer, Rebekka, Dannlowski, Udo, Edmond, Jesse T, Rootes-Murdy, Kelly, Stephen, Julia M, Mayer, Andrew R, and Antonucci, Linda A
Subjects: Brain, Cerebral Cortex, Humans, Magnetic Resonance Imaging, Case-Control Studies, Schizophrenia, Female, Male, Functional Laterality, asymmetry, brain imaging, cortical, subcortical, Clinical Research, Mental Health, Neurosciences, Brain Disorders, Mental health
Abstract: Left-right asymmetry is an important organizing feature of the healthy brain that may be altered in schizophrenia, but most studies have used relatively small samples and heterogeneous approaches, resulting in equivocal findings. We carried out the largest case-control study of structural brain asymmetries in schizophrenia, with MRI data from 5,080 affected individuals and 6,015 controls across 46 datasets, using a single image analysis protocol. Asymmetry indexes were calculated for global and regional cortical thickness, surface area, and subcortical volume measures. Differences of asymmetry were calculated between affected individuals and controls per dataset, and effect sizes were meta-analyzed across datasets. Small average case-control differences were observed for thickness asymmetries of the rostral anterior cingulate and the middle temporal gyrus, both driven by thinner left-hemispheric cortices in schizophrenia. Analyses of these asymmetries with respect to the use of antipsychotic medication and other clinical variables did not show any significant associations. Assessment of age- and sex-specific effects revealed a stronger average leftward asymmetry of pallidum volume between older cases and controls. Case-control differences in a multivariate context were assessed in a subset of the data (N = 2,029), which revealed that 7% of the variance across all structural asymmetries was explained by case-control status. Subtle case-control differences of brain macrostructural asymmetry may reflect differences at the molecular, cytoarchitectonic, or circuit levels that have functional relevance for the disorder. Reduced left middle temporal cortical thickness is consistent with altered left-hemisphere language network organization in schizophrenia.
Published: 2023

2. AI-based dimensional neuroimaging system for characterizing heterogeneity in brain structure and function in major depressive disorder: COORDINATE-MDD consortium design and rationale

Author: Fu, Cynthia HY, Erus, Guray, Fan, Yong, Antoniades, Mathilde, Arnone, Danilo, Arnott, Stephen R, Chen, Taolin, Choi, Ki Sueng, Fatt, Cherise Chin, Frey, Benicio N, Frokjaer, Vibe G, Ganz, Melanie, Garcia, Jose, Godlewska, Beata R, Hassel, Stefanie, Ho, Keith, McIntosh, Andrew M, Qin, Kun, Rotzinger, Susan, Sacchet, Matthew D, Savitz, Jonathan, Shou, Haochang, Singh, Ashish, Stolicyn, Aleks, Strigo, Irina, Strother, Stephen C, Tosun, Duygu, Victor, Teresa A, Wei, Dongtao, Wise, Toby, Woodham, Rachel D, Zahn, Roland, Anderson, Ian M, Deakin, JF William, Dunlop, Boadie W, Elliott, Rebecca, Gong, Qiyong, Gotlib, Ian H, Harmer, Catherine J, Kennedy, Sidney H, Knudsen, Gitte M, Mayberg, Helen S, Paulus, Martin P, Qiu, Jiang, Trivedi, Madhukar H, Whalley, Heather C, Yan, Chao-Gan, Young, Allan H, and Davatzikos, Christos
Subjects: Biological Psychology, Biomedical and Clinical Sciences, Clinical Sciences, Psychology, Biomedical Imaging, Neurosciences, Brain Disorders, Clinical Research, Depression, Bioengineering, Serious Mental Illness, Major Depressive Disorder, Mental Health, 4.1 Discovery and preclinical testing of markers and technologies, 4.2 Evaluation of markers and technologies, Detection, screening and diagnosis, Neurological, Mental health, Humans, Depressive Disorder, Major, Prospective Studies, Reproducibility of Results, Brain, Neuroimaging, Magnetic Resonance Imaging, Artificial Intelligence, Classification, Biomarkers, Deep learning, Harmonization, Predictors, MRI, Public Health and Health Services, Psychiatry, Clinical sciences, Epidemiology, Clinical and health psychology
Abstract: BackgroundEfforts to develop neuroimaging-based biomarkers in major depressive disorder (MDD), at the individual level, have been limited to date. As diagnostic criteria are currently symptom-based, MDD is conceptualized as a disorder rather than a disease with a known etiology; further, neural measures are often confounded by medication status and heterogeneous symptom states.MethodsWe describe a consortium to quantify neuroanatomical and neurofunctional heterogeneity via the dimensions of novel multivariate coordinate system (COORDINATE-MDD). Utilizing imaging harmonization and machine learning methods in a large cohort of medication-free, deeply phenotyped MDD participants, patterns of brain alteration are defined in replicable and neurobiologically-based dimensions and offer the potential to predict treatment response at the individual level. International datasets are being shared from multi-ethnic community populations, first episode and recurrent MDD, which are medication-free, in a current depressive episode with prospective longitudinal treatment outcomes and in remission. Neuroimaging data consist of de-identified, individual, structural MRI and resting-state functional MRI with additional positron emission tomography (PET) data at specific sites. State-of-the-art analytic methods include automated image processing for extraction of anatomical and functional imaging variables, statistical harmonization of imaging variables to account for site and scanner variations, and semi-supervised machine learning methods that identify dominant patterns associated with MDD from neural structure and function in healthy participants.ResultsWe are applying an iterative process by defining the neural dimensions that characterise deeply phenotyped samples and then testing the dimensions in novel samples to assess specificity and reliability. Crucially, we aim to use machine learning methods to identify novel predictors of treatment response based on prospective longitudinal treatment outcome data, and we can externally validate the dimensions in fully independent sites.ConclusionWe describe the consortium, imaging protocols and analytics using preliminary results. Our findings thus far demonstrate how datasets across many sites can be harmonized and constructively pooled to enable execution of this large-scale project.
Published: 2023

3. Exome sequencing in bipolar disorder identifies AKAP11 as a risk gene shared with schizophrenia

Author: Palmer, Duncan S, Howrigan, Daniel P, Chapman, Sinéad B, Adolfsson, Rolf, Bass, Nick, Blackwood, Douglas, Boks, Marco PM, Chen, Chia-Yen, Churchhouse, Claire, Corvin, Aiden P, Craddock, Nicholas, Curtis, David, Di Florio, Arianna, Dickerson, Faith, Freimer, Nelson B, Goes, Fernando S, Jia, Xiaoming, Jones, Ian, Jones, Lisa, Jonsson, Lina, Kahn, Rene S, Landén, Mikael, Locke, Adam E, McIntosh, Andrew M, McQuillin, Andrew, Morris, Derek W, O’Donovan, Michael C, Ophoff, Roel A, Owen, Michael J, Pedersen, Nancy L, Posthuma, Danielle, Reif, Andreas, Risch, Neil, Schaefer, Catherine, Scott, Laura, Singh, Tarjinder, Smoller, Jordan W, Solomonson, Matthew, Clair, David St, Stahl, Eli A, Vreeker, Annabel, Walters, James TR, Wang, Weiqing, Watts, Nicholas A, Yolken, Robert, Zandi, Peter P, and Neale, Benjamin M
Subjects: Biotechnology, Human Genome, Clinical Research, Serious Mental Illness, Schizophrenia, Brain Disorders, Bipolar Disorder, Mental Health, Genetics, 2.1 Biological and endogenous factors, Aetiology, Mental health, A Kinase Anchor Proteins, Exome, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Exome Sequencing, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: We report results from the Bipolar Exome (BipEx) collaboration analysis of whole-exome sequencing of 13,933 patients with bipolar disorder (BD) matched with 14,422 controls. We find an excess of ultra-rare protein-truncating variants (PTVs) in patients with BD among genes under strong evolutionary constraint in both major BD subtypes. We find enrichment of ultra-rare PTVs within genes implicated from a recent schizophrenia exome meta-analysis (SCHEMA; 24,248 cases and 97,322 controls) and among binding targets of CHD8. Genes implicated from genome-wide association studies (GWASs) of BD, however, are not significantly enriched for ultra-rare PTVs. Combining gene-level results with SCHEMA, AKAP11 emerges as a definitive risk gene (odds ratio (OR) = 7.06, P = 2.83 × 10-9). At the protein level, AKAP-11 interacts with GSK3B, the hypothesized target of lithium, a primary treatment for BD. Our results lend support to BD's polygenicity, demonstrating a role for rare coding variation as a significant risk factor in BD etiology.
Published: 2022

4. Rare coding variants in ten genes confer substantial risk for schizophrenia.

Author: Singh, Tarjinder, Poterba, Timothy, Curtis, David, Akil, Huda, Al Eissa, Mariam, Barchas, Jack D, Bass, Nicholas, Bigdeli, Tim B, Breen, Gerome, Bromet, Evelyn J, Buckley, Peter F, Bunney, William E, Bybjerg-Grauholm, Jonas, Byerley, William F, Chapman, Sinéad B, Chen, Wei J, Churchhouse, Claire, Craddock, Nicholas, Cusick, Caroline M, DeLisi, Lynn, Dodge, Sheila, Escamilla, Michael A, Eskelinen, Saana, Fanous, Ayman H, Faraone, Stephen V, Fiorentino, Alessia, Francioli, Laurent, Gabriel, Stacey B, Gage, Diane, Gagliano Taliun, Sarah A, Ganna, Andrea, Genovese, Giulio, Glahn, David C, Grove, Jakob, Hall, Mei-Hua, Hämäläinen, Eija, Heyne, Henrike O, Holi, Matti, Hougaard, David M, Howrigan, Daniel P, Huang, Hailiang, Hwu, Hai-Gwo, Kahn, René S, Kang, Hyun Min, Karczewski, Konrad J, Kirov, George, Knowles, James A, Lee, Francis S, Lehrer, Douglas S, Lescai, Francesco, Malaspina, Dolores, Marder, Stephen R, McCarroll, Steven A, McIntosh, Andrew M, Medeiros, Helena, Milani, Lili, Morley, Christopher P, Morris, Derek W, Mortensen, Preben Bo, Myers, Richard M, Nordentoft, Merete, O'Brien, Niamh L, Olivares, Ana Maria, Ongur, Dost, Ouwehand, Willem H, Palmer, Duncan S, Paunio, Tiina, Quested, Digby, Rapaport, Mark H, Rees, Elliott, Rollins, Brandi, Satterstrom, F Kyle, Schatzberg, Alan, Scolnick, Edward, Scott, Laura J, Sharp, Sally I, Sklar, Pamela, Smoller, Jordan W, Sobell, Janet L, Solomonson, Matthew, Stahl, Eli A, Stevens, Christine R, Suvisaari, Jaana, Tiao, Grace, Watson, Stanley J, Watts, Nicholas A, Blackwood, Douglas H, Børglum, Anders D, Cohen, Bruce M, Corvin, Aiden P, Esko, Tõnu, Freimer, Nelson B, Glatt, Stephen J, Hultman, Christina M, McQuillin, Andrew, Palotie, Aarno, Pato, Carlos N, Pato, Michele T, Pulver, Ann E, and St Clair, David
Subjects: Humans, Genetic Predisposition to Disease, Receptors, N-Methyl-D-Aspartate, Case-Control Studies, Schizophrenia, Mutation, Exome, Neurodevelopmental Disorders, Human Genome, Biotechnology, Mental Health, Neurosciences, Brain Disorders, Genetics, Serious Mental Illness, Aetiology, 2.1 Biological and endogenous factors, Mental health, Neurological, General Science & Technology
Abstract: Rare coding variation has historically provided the most direct connections between gene function and disease pathogenesis. By meta-analysing the whole exomes of 24,248 schizophrenia cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in 10 genes as conferring substantial risk for schizophrenia (odds ratios of 3-50, P
Published: 2022

5. In vivo hippocampal subfield volumes in bipolar disorder—A mega‐analysis from The Enhancing Neuro Imaging Genetics through Meta‐Analysis Bipolar Disorder Working Group

Author: Haukvik, Unn K, Gurholt, Tiril P, Nerland, Stener, Elvsåshagen, Torbjørn, Akudjedu, Theophilus N, Alda, Martin, Alnæs, Dag, Alonso‐Lana, Silvia, Bauer, Jochen, Baune, Bernhard T, Benedetti, Francesco, Berk, Michael, Bettella, Francesco, Bøen, Erlend, Bonnín, Caterina M, Brambilla, Paolo, Canales‐Rodríguez, Erick J, Cannon, Dara M, Caseras, Xavier, Dandash, Orwa, Dannlowski, Udo, Delvecchio, Giuseppe, Díaz‐Zuluaga, Ana M, Erp, Theo GM, Fatjó‐Vilas, Mar, Foley, Sonya F, Förster, Katharina, Fullerton, Janice M, Goikolea, José M, Grotegerd, Dominik, Gruber, Oliver, Haarman, Bartholomeus CM, Haatveit, Beathe, Hajek, Tomas, Hallahan, Brian, Harris, Mathew, Hawkins, Emma L, Howells, Fleur M, Hülsmann, Carina, Jahanshad, Neda, Jørgensen, Kjetil N, Kircher, Tilo, Krämer, Bernd, Krug, Axel, Kuplicki, Rayus, Lagerberg, Trine V, Lancaster, Thomas M, Lenroot, Rhoshel K, Lonning, Vera, López‐Jaramillo, Carlos, Malt, Ulrik F, McDonald, Colm, McIntosh, Andrew M, McPhilemy, Genevieve, Meer, Dennis, Melle, Ingrid, Melloni, Elisa MT, Mitchell, Philip B, Nabulsi, Leila, Nenadić, Igor, Oertel, Viola, Oldani, Lucio, Opel, Nils, Otaduy, Maria CG, Overs, Bronwyn J, Pineda‐Zapata, Julian A, Pomarol‐Clotet, Edith, Radua, Joaquim, Rauer, Lisa, Redlich, Ronny, Repple, Jonathan, Rive, Maria M, Roberts, Gloria, Ruhe, Henricus G, Salminen, Lauren E, Salvador, Raymond, Sarró, Salvador, Savitz, Jonathan, Schene, Aart H, Sim, Kang, Soeiro‐de‐Souza, Marcio G, Stäblein, Michael, Stein, Dan J, Stein, Frederike, Tamnes, Christian K, Temmingh, Henk S, Thomopoulos, Sophia I, Veltman, Dick J, Vieta, Eduard, Waltemate, Lena, Westlye, Lars T, Whalley, Heather C, Sämann, Philipp G, Thompson, Paul M, Ching, Christopher RK, Andreassen, Ole A, Agartz, Ingrid, and Group, ENIGMA Bipolar Disorder Working
Subjects: Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Brain Disorders, Mental Health, Serious Mental Illness, Neurosciences, Biomedical Imaging, Bipolar Disorder, Mental health, Genetics, Hippocampus, Humans, Magnetic Resonance Imaging, Neuroimaging, ENIGMA Bipolar Disorder Working Group, bipolar disorder subtype, hippocampus, large-scale, lithium, psychosis, structural brain MRI, Cognitive Sciences, Experimental Psychology, Biological psychology, Cognitive and computational psychology
Abstract: The hippocampus consists of anatomically and functionally distinct subfields that may be differentially involved in the pathophysiology of bipolar disorder (BD). Here we, the Enhancing NeuroImaging Genetics through Meta-Analysis Bipolar Disorder workinggroup, study hippocampal subfield volumetry in BD. T1-weighted magnetic resonance imaging scans from 4,698 individuals (BD = 1,472, healthy controls [HC] = 3,226) from 23 sites worldwide were processed with FreeSurfer. We used linear mixed-effects models and mega-analysis to investigate differences in hippocampal subfield volumes between BD and HC, followed by analyses of clinical characteristics and medication use. BD showed significantly smaller volumes of the whole hippocampus (Cohen's d = -0.20), cornu ammonis (CA)1 (d = -0.18), CA2/3 (d = -0.11), CA4 (d = -0.19), molecular layer (d = -0.21), granule cell layer of dentate gyrus (d = -0.21), hippocampal tail (d = -0.10), subiculum (d = -0.15), presubiculum (d = -0.18), and hippocampal amygdala transition area (d = -0.17) compared to HC. Lithium users did not show volume differences compared to HC, while non-users did. Antipsychotics or antiepileptic use was associated with smaller volumes. In this largest study of hippocampal subfields in BD to date, we show widespread reductions in nine of 12 subfields studied. The associations were modulated by medication use and specifically the lack of differences between lithium users and HC supports a possible protective role of lithium in BD.
Published: 2022

6. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author: McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, Reiner, Alex P, Ritz, Beate, and Rotter, Jerome I
Subjects: Prevention, Nutrition, Aging, Human Genome, Genetics, Generic health relevance, Inflammatory and immune system, Good Health and Well Being, Adiposity, Biomarkers, C-Reactive Protein, CpG Islands, DNA Methylation, Educational Status, Epigenesis, Genetic, Genetic Loci, Genetic Markers, Genome, Human, Genome-Wide Association Study, Granulocytes, Humans, Immunity, Innate, Lipid Metabolism, Multifactorial Inheritance, Plasminogen Activator Inhibitor 1, DNA methylation, GWAS, Epigenetic clock, Genetics of DNA Methylation Consortium, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract: BackgroundBiological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field.ResultsLeveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels.ConclusionThis study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.
Published: 2021

7. Genetic copy number variants, cognition and psychosis: a meta-analysis and a family study

Author: Thygesen, Johan H, Presman, Amelia, Harju-Seppänen, Jasmine, Irizar, Haritz, Jones, Rebecca, Kuchenbaecker, Karoline, Lin, Kuang, Alizadeh, Behrooz Z, Austin-Zimmerman, Isabelle, Bartels-Velthuis, Agna, Bhat, Anjali, Bruggeman, Richard, Cahn, Wiepke, Calafato, Stella, Crespo-Facorro, Benedicto, de Haan, Liewe, de Zwarte, Sonja MC, Di Forti, Marta, Díez-Revuelta, Álvaro, Hall, Jeremy, Hall, Mei-Hua, Iyegbe, Conrad, Jablensky, Assen, Kahn, Rene, Kalaydjieva, Luba, Kravariti, Eugenia, Lawrie, Stephen, Luykx, Jurjen J, Mata, Igancio, McDonald, Colm, McIntosh, Andrew M, McQuillin, Andrew, Muir, Rebecca, Ophoff, Roel, Picchioni, Marco, Prata, Diana P, Ranlund, Siri, Rujescu, Dan, Rutten, Bart PF, Schulze, Katja, Shaikh, Madiha, Schirmbeck, Frederike, Simons, Claudia JP, Toulopoulou, Timothea, van Amelsvoort, Therese, van Haren, Neeltje, van Os, Jim, van Winkel, Ruud, Vassos, Evangelos, Walshe, Muriel, Weisbrod, Matthias, Zartaloudi, Eirini, Bell, Vaughan, Powell, John, Lewis, Cathryn M, Murray, Robin M, and Bramon, Elvira
Subjects: Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Human Genome, Clinical Research, Brain Disorders, Serious Mental Illness, Schizophrenia, Neurosciences, Genetics, Prevention, Mental Health, 2.1 Biological and endogenous factors, 2.3 Psychological, social and economic factors, Aetiology, Mental health, Cognition, DNA Copy Number Variations, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Psychotic Disorders, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract: The burden of large and rare copy number genetic variants (CNVs) as well as certain specific CNVs increase the risk of developing schizophrenia. Several cognitive measures are purported schizophrenia endophenotypes and may represent an intermediate point between genetics and the illness. This paper investigates the influence of CNVs on cognition. We conducted a systematic review and meta-analysis of the literature exploring the effect of CNV burden on general intelligence. We included ten primary studies with a total of 18,847 participants and found no evidence of association. In a new psychosis family study, we investigated the effects of CNVs on specific cognitive abilities. We examined the burden of large and rare CNVs (>200 kb,
Published: 2021

8. Polygenic contributions to alcohol use and alcohol use disorders across population-based and clinically ascertained samples

Author: Johnson, Emma C, Sanchez-Roige, Sandra, Acion, Laura, Adams, Mark J, Bucholz, Kathleen K, Chan, Grace, Chao, Michael J, Chorlian, David B, Dick, Danielle M, Edenberg, Howard J, Foroud, Tatiana, Hayward, Caroline, Heron, Jon, Hesselbrock, Victor, Hickman, Matthew, Kendler, Kenneth S, Kinreich, Sivan, Kramer, John, Kuo, Sally I-Chun, Kuperman, Samuel, Lai, Dongbing, McIntosh, Andrew M, Meyers, Jacquelyn L, Plawecki, Martin H, Porjesz, Bernice, Porteous, David, Schuckit, Marc A, Su, Jinni, Zang, Yong, Palmer, Abraham A, Agrawal, Arpana, Clarke, Toni-Kim, and Edwards, Alexis C
Subjects: Biological Psychology, Biomedical and Clinical Sciences, Psychology, Neurosciences, Brain Disorders, Clinical Research, Genetics, Underage Drinking, Substance Misuse, Pediatric, Alcoholism, Alcohol Use and Health, Good Health and Well Being, Alcohol Drinking, Alcoholism, Cohort Studies, Genome-Wide Association Study, Humans, Longitudinal Studies, Phenotype, Scotland, Alcohol consumption, alcohol dependence, alcohol use disorder, AUDIT, genetics, GWAS, polygenic risk score, Public Health and Health Services, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract: BackgroundStudies suggest that alcohol consumption and alcohol use disorders have distinct genetic backgrounds.MethodsWe examined whether polygenic risk scores (PRS) for consumption and problem subscales of the Alcohol Use Disorders Identification Test (AUDIT-C, AUDIT-P) in the UK Biobank (UKB; N = 121 630) correlate with alcohol outcomes in four independent samples: an ascertained cohort, the Collaborative Study on the Genetics of Alcoholism (COGA; N = 6850), and population-based cohorts: Avon Longitudinal Study of Parents and Children (ALSPAC; N = 5911), Generation Scotland (GS; N = 17 461), and an independent subset of UKB (N = 245 947). Regression models and survival analyses tested whether the PRS were associated with the alcohol-related outcomes.ResultsIn COGA, AUDIT-P PRS was associated with alcohol dependence, AUD symptom count, maximum drinks (R2 = 0.47-0.68%, p = 2.0 × 10-8-1.0 × 10-10), and increased likelihood of onset of alcohol dependence (hazard ratio = 1.15, p = 4.7 × 10-8); AUDIT-C PRS was not an independent predictor of any phenotype. In ALSPAC, the AUDIT-C PRS was associated with alcohol dependence (R2 = 0.96%, p = 4.8 × 10-6). In GS, AUDIT-C PRS was a better predictor of weekly alcohol use (R2 = 0.27%, p = 5.5 × 10-11), while AUDIT-P PRS was more associated with problem drinking (R2 = 0.40%, p = 9.0 × 10-7). Lastly, AUDIT-P PRS was associated with ICD-based alcohol-related disorders in the UKB subset (R2 = 0.18%, p < 2.0 × 10-16).ConclusionsAUDIT-P PRS was associated with a range of alcohol-related phenotypes across population-based and ascertained cohorts, while AUDIT-C PRS showed less utility in the ascertained cohort. We show that AUDIT-P is genetically correlated with both use and misuse and demonstrate the influence of ascertainment schemes on PRS analyses.
Published: 2021

9. A large-scale genome-wide association study meta-analysis of cannabis use disorder.

Author: Johnson, Emma C, Demontis, Ditte, Thorgeirsson, Thorgeir E, Walters, Raymond K, Polimanti, Renato, Hatoum, Alexander S, Sanchez-Roige, Sandra, Paul, Sarah E, Wendt, Frank R, Clarke, Toni-Kim, Lai, Dongbing, Reginsson, Gunnar W, Zhou, Hang, He, June, Baranger, David AA, Gudbjartsson, Daniel F, Wedow, Robbee, Adkins, Daniel E, Adkins, Amy E, Alexander, Jeffry, Bacanu, Silviu-Alin, Bigdeli, Tim B, Boden, Joseph, Brown, Sandra A, Bucholz, Kathleen K, Bybjerg-Grauholm, Jonas, Corley, Robin P, Degenhardt, Louisa, Dick, Danielle M, Domingue, Benjamin W, Fox, Louis, Goate, Alison M, Gordon, Scott D, Hack, Laura M, Hancock, Dana B, Hartz, Sarah M, Hickie, Ian B, Hougaard, David M, Krauter, Kenneth, Lind, Penelope A, McClintick, Jeanette N, McQueen, Matthew B, Meyers, Jacquelyn L, Montgomery, Grant W, Mors, Ole, Mortensen, Preben B, Nordentoft, Merete, Pearson, John F, Peterson, Roseann E, Reynolds, Maureen D, Rice, John P, Runarsdottir, Valgerdur, Saccone, Nancy L, Sherva, Richard, Silberg, Judy L, Tarter, Ralph E, Tyrfingsson, Thorarinn, Wall, Tamara L, Webb, Bradley T, Werge, Thomas, Wetherill, Leah, Wright, Margaret J, Zellers, Stephanie, Adams, Mark J, Bierut, Laura J, Boardman, Jason D, Copeland, William E, Farrer, Lindsay A, Foroud, Tatiana M, Gillespie, Nathan A, Grucza, Richard A, Harris, Kathleen Mullan, Heath, Andrew C, Hesselbrock, Victor, Hewitt, John K, Hopfer, Christian J, Horwood, John, Iacono, William G, Johnson, Eric O, Kendler, Kenneth S, Kennedy, Martin A, Kranzler, Henry R, Madden, Pamela AF, Maes, Hermine H, Maher, Brion S, Martin, Nicholas G, McGue, Matthew, McIntosh, Andrew M, Medland, Sarah E, Nelson, Elliot C, Porjesz, Bernice, Riley, Brien P, Stallings, Michael C, Vanyukov, Michael M, Vrieze, Scott, Psychiatric Genomics Consortium Substance Use Disorders Workgroup, Davis, Lea K, Bogdan, Ryan, Gelernter, Joel, and Edenberg, Howard J
Subjects: Psychiatric Genomics Consortium Substance Use Disorders Workgroup, Humans, Marijuana Abuse, Risk, Polymorphism, Single Nucleotide, Genome-Wide Association Study, Polymorphism, Single Nucleotide, Clinical Sciences, Public Health and Health Services, Psychology
Abstract: BackgroundVariation in liability to cannabis use disorder has a strong genetic component (estimated twin and family heritability about 50-70%) and is associated with negative outcomes, including increased risk of psychopathology. The aim of the study was to conduct a large genome-wide association study (GWAS) to identify novel genetic variants associated with cannabis use disorder.MethodsTo conduct this GWAS meta-analysis of cannabis use disorder and identify associations with genetic loci, we used samples from the Psychiatric Genomics Consortium Substance Use Disorders working group, iPSYCH, and deCODE (20 916 case samples, 363 116 control samples in total), contrasting cannabis use disorder cases with controls. To examine the genetic overlap between cannabis use disorder and 22 traits of interest (chosen because of previously published phenotypic correlations [eg, psychiatric disorders] or hypothesised associations [eg, chronotype] with cannabis use disorder), we used linkage disequilibrium score regression to calculate genetic correlations.FindingsWe identified two genome-wide significant loci: a novel chromosome 7 locus (FOXP2, lead single-nucleotide polymorphism [SNP] rs7783012; odds ratio [OR] 1·11, 95% CI 1·07-1·15, p=1·84 × 10-9) and the previously identified chromosome 8 locus (near CHRNA2 and EPHX2, lead SNP rs4732724; OR 0·89, 95% CI 0·86-0·93, p=6·46 × 10-9). Cannabis use disorder and cannabis use were genetically correlated (rg 0·50, p=1·50 × 10-21), but they showed significantly different genetic correlations with 12 of the 22 traits we tested, suggesting at least partially different genetic underpinnings of cannabis use and cannabis use disorder. Cannabis use disorder was positively genetically correlated with other psychopathology, including ADHD, major depression, and schizophrenia.InterpretationThese findings support the theory that cannabis use disorder has shared genetic liability with other psychopathology, and there is a distinction between genetic liability to cannabis use and cannabis use disorder.FundingNational Institute of Mental Health; National Institute on Alcohol Abuse and Alcoholism; National Institute on Drug Abuse; Center for Genomics and Personalized Medicine and the Centre for Integrative Sequencing; The European Commission, Horizon 2020; National Institute of Child Health and Human Development; Health Research Council of New Zealand; National Institute on Aging; Wellcome Trust Case Control Consortium; UK Research and Innovation Medical Research Council (UKRI MRC); The Brain & Behavior Research Foundation; National Institute on Deafness and Other Communication Disorders; Substance Abuse and Mental Health Services Administration (SAMHSA); National Institute of Biomedical Imaging and Bioengineering; National Health and Medical Research Council (NHMRC) Australia; Tobacco-Related Disease Research Program of the University of California; Families for Borderline Personality Disorder Research (Beth and Rob Elliott) 2018 NARSAD Young Investigator Grant; The National Child Health Research Foundation (Cure Kids); The Canterbury Medical Research Foundation; The New Zealand Lottery Grants Board; The University of Otago; The Carney Centre for Pharmacogenomics; The James Hume Bequest Fund; National Institutes of Health: Genes, Environment and Health Initiative; National Institutes of Health; National Cancer Institute; The William T Grant Foundation; Australian Research Council; The Virginia Tobacco Settlement Foundation; The VISN 1 and VISN 4 Mental Illness Research, Education, and Clinical Centers of the US Department of Veterans Affairs; The 5th Framework Programme (FP-5) GenomEUtwin Project; The Lundbeck Foundation; NIH-funded Shared Instrumentation Grant S10RR025141; Clinical Translational Sciences Award grants; National Institute of Neurological Disorders and Stroke; National Heart, Lung, and Blood Institute; National Institute of General Medical Sciences.
Published: 2020

10. Complement genes contribute sex-biased vulnerability in diverse disorders

Author: Arranz, Maria J, Bakker, Steven, Bender, Stephan, Bramon, Elvira, Collier, David A, Crespo-Facorro, Benedicto, Hall, Jeremy, Iyegbe, Conrad, Jablensky, Assen V, Kahn, René S, Kalaydjieva, Luba, Lawrie, Stephen, Lewis, Cathryn M, Lin, Kuang, Linszen, Don H, Mata, Ignacio, McIntosh, Andrew M, Murray, Robin M, Ophoff, Roel A, Van Os, Jim, Powell, John, Rujescu, Dan, Walshe, Muriel, Weisbrod, Matthias, Wiersma, Durk, Donnelly, Peter, Barroso, Ines, Blackwell, Jenefer M, Brown, Matthew A, Casas, Juan P, Corvin, Aiden, Deloukas, Panos, Duncanson, Audrey, Jankowski, Janusz, Markus, Hugh S, Mathew, Christopher G, Palmer, Colin NA, Plomin, Robert, Rautanen, Anna, Sawcer, Stephen J, Trembath, Richard C, Viswanathan, Ananth C, Wood, Nicholas W, Spencer, Chris CA, Band, Gavin, Bellenguez, Céline, Freeman, Colin, Giannoulatou, Eleni, Hellenthal, Garrett, Pearson, Richard, Pirinen, Matti, Strange, Amy, Su, Zhan, Vukcevic, Damjan, Langford, Cordelia, Blackburn, Hannah, Bumpstead, Suzannah J, Dronov, Serge, Edkins, Sarah, Gillman, Matthew, Gray, Emma, Gwilliam, Rhian, Hammond, Naomi, Hunt, Sarah E, Jayakumar, Alagurevathi, Liddle, Jennifer, McCann, Owen T, Potter, Simon C, Ravindrarajah, Radhi, Ricketts, Michelle, Tashakkori-Ghanbaria, Avazeh, Waller, Matthew, Weston, Paul, Whittaker, Pamela, Widaa, Sara, and McCarthy, Mark I
Subjects: Autoimmune Disease, Schizophrenia, Mental Health, Lupus, Genetics, Brain Disorders, Biotechnology, Aetiology, 2.1 Biological and endogenous factors, Inflammatory and immune system, Adult, Alleles, Complement C3, Complement C4, Female, Genetic Predisposition to Disease, HLA Antigens, Haplotypes, Humans, Lupus Erythematosus, Systemic, Major Histocompatibility Complex, Male, Middle Aged, Sex Characteristics, Sjogren's Syndrome, Young Adult, Schizophrenia Working Group of the Psychiatric Genomics Consortium, General Science & Technology
Abstract: Many common illnesses, for reasons that have not been identified, differentially affect men and women. For instance, the autoimmune diseases systemic lupus erythematosus (SLE) and Sjögren's syndrome affect nine times more women than men1, whereas schizophrenia affects men with greater frequency and severity relative to women2. All three illnesses have their strongest common genetic associations in the major histocompatibility complex (MHC) locus, an association that in SLE and Sjögren's syndrome has long been thought to arise from alleles of the human leukocyte antigen (HLA) genes at that locus3-6. Here we show that variation of the complement component 4 (C4) genes C4A and C4B, which are also at the MHC locus and have been linked to increased risk for schizophrenia7, generates 7-fold variation in risk for SLE and 16-fold variation in risk for Sjögren's syndrome among individuals with common C4 genotypes, with C4A protecting more strongly than C4B in both illnesses. The same alleles that increase risk for schizophrenia greatly reduce risk for SLE and Sjögren's syndrome. In all three illnesses, C4 alleles act more strongly in men than in women: common combinations of C4A and C4B generated 14-fold variation in risk for SLE, 31-fold variation in risk for Sjögren's syndrome, and 1.7-fold variation in schizophrenia risk among men (versus 6-fold, 15-fold and 1.26-fold variation in risk among women, respectively). At a protein level, both C4 and its effector C3 were present at higher levels in cerebrospinal fluid and plasma8,9 in men than in women among adults aged between 20 and 50 years, corresponding to the ages of differential disease vulnerability. Sex differences in complement protein levels may help to explain the more potent effects of C4 alleles in men, women's greater risk of SLE and Sjögren's syndrome and men's greater vulnerability to schizophrenia. These results implicate the complement system as a source of sexual dimorphism in vulnerability to diverse illnesses.
Published: 2020

11. New alcohol-related genes suggest shared genetic mechanisms with neuropsychiatric disorders

Author: Evangelou, Evangelos, Gao, He, Chu, Congying, Ntritsos, Georgios, Blakeley, Paul, Butts, Andrew R, Pazoki, Raha, Suzuki, Hideaki, Koskeridis, Fotios, Yiorkas, Andrianos M, Karaman, Ibrahim, Elliott, Joshua, Luo, Qiang, Aeschbacher, Stefanie, Bartz, Traci M, Baumeister, Sebastian E, Braund, Peter S, Brown, Michael R, Brody, Jennifer A, Clarke, Toni-Kim, Dimou, Niki, Faul, Jessica D, Homuth, Georg, Jackson, Anne U, Kentistou, Katherine A, Joshi, Peter K, Lemaitre, Rozenn N, Lind, Penelope A, Lyytikäinen, Leo-Pekka, Mangino, Massimo, Milaneschi, Yuri, Nelson, Christopher P, Nolte, Ilja M, Perälä, Mia-Maria, Polasek, Ozren, Porteous, David, Ratliff, Scott M, Smith, Jennifer A, Stančáková, Alena, Teumer, Alexander, Tuominen, Samuli, Thériault, Sébastien, Vangipurapu, Jagadish, Whitfield, John B, Wood, Alexis, Yao, Jie, Yu, Bing, Zhao, Wei, Arking, Dan E, Auvinen, Juha, Liu, Chunyu, Männikkö, Minna, Risch, Lorenz, Rotter, Jerome I, Snieder, Harold, Veijola, Juha, Blakemore, Alexandra I, Boehnke, Michael, Campbell, Harry, Conen, David, Eriksson, Johan G, Grabe, Hans J, Guo, Xiuqing, van der Harst, Pim, Hartman, Catharina A, Hayward, Caroline, Heath, Andrew C, Jarvelin, Marjo-Riitta, Kähönen, Mika, Kardia, Sharon LR, Kühne, Michael, Kuusisto, Johanna, Laakso, Markku, Lahti, Jari, Lehtimäki, Terho, McIntosh, Andrew M, Mohlke, Karen L, Morrison, Alanna C, Martin, Nicholas G, Oldehinkel, Albertine J, Penninx, Brenda WJH, Psaty, Bruce M, Raitakari, Olli T, Rudan, Igor, Samani, Nilesh J, Scott, Laura J, Spector, Tim D, Verweij, Niek, Weir, David R, Wilson, James F, Levy, Daniel, Tzoulaki, Ioanna, Bell, Jimmy D, Matthews, Paul M, Rothenfluh, Adrian, Desrivières, Sylvane, Schumann, Gunter, and Elliott, Paul
Subjects: Biomedical and Clinical Sciences, Biological Psychology, Epidemiology, Health Sciences, Psychology, Pharmacology and Pharmaceutical Sciences, Biotechnology, Substance Misuse, Brain Disorders, Mental Health, Neurosciences, Serious Mental Illness, Alcoholism, Alcohol Use and Health, Schizophrenia, Genetics, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Cardiovascular, Mental health, Stroke, Cancer, Oral and gastrointestinal, Good Health and Well Being, Adult, Aged, Alcohol Drinking, Alcoholism, Brain, Female, Genes, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Magnetic Resonance Imaging, Male, Mental Disorders, Middle Aged, Neuroimaging, Polymorphism, Single Nucleotide, Quantitative Trait Loci, White People, Biomedical and clinical sciences, Health sciences
Abstract: Excessive alcohol consumption is one of the main causes of death and disability worldwide. Alcohol consumption is a heritable complex trait. Here we conducted a meta-analysis of genome-wide association studies of alcohol consumption (g d-1) from the UK Biobank, the Alcohol Genome-Wide Consortium and the Cohorts for Heart and Aging Research in Genomic Epidemiology Plus consortia, collecting data from 480,842 people of European descent to decipher the genetic architecture of alcohol intake. We identified 46 new common loci and investigated their potential functional importance using magnetic resonance imaging data and gene expression studies. We identify genetic pathways associated with alcohol consumption and suggest genetic mechanisms that are shared with neuropsychiatric disorders such as schizophrenia.
Published: 2019

12. Genome-Wide Association Study Meta-Analysis of the Alcohol Use Disorders Identification Test (AUDIT) in Two Population-Based Cohorts

Author: Sanchez-Roige, Sandra, Palmer, Abraham A, Fontanillas, Pierre, Elson, Sarah L, Adams, Mark J, Howard, David M, Edenberg, Howard J, Davies, Gail, Crist, Richard C, Deary, Ian J, McIntosh, Andrew M, and Clarke, Toni-Kim
Subjects: Brain Disorders, Mental Health, Substance Misuse, Alcoholism, Alcohol Use and Health, Clinical Research, Human Genome, Genetics, Depression, 2.1 Biological and endogenous factors, Aetiology, 2.3 Psychological, social and economic factors, Mental health, Good Health and Well Being, Adaptor Proteins, Signal Transducing, Alcohol Dehydrogenase, Alcohol Drinking, Alcoholism, Attention Deficit Disorder with Hyperactivity, Cation Transport Proteins, Cell Adhesion Molecules, Cohort Studies, Depressive Disorder, Major, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Klotho Proteins, Male, Membrane Proteins, Middle Aged, Polymorphism, Single Nucleotide, Schizophrenia, United Kingdom, Whites, 23andMe Research Team, the Substance Use Disorder Working Group of the Psychiatric Genomics Consortium, White People, Alcohol Abuse, Alcohol Consumption, Alcohol Dependence, Epidemiology, Genome-Wide Association Studies, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract: ObjectiveAlcohol use disorders are common conditions that have enormous social and economic consequences. Genome-wide association analyses were performed to identify genetic variants associated with a proxy measure of alcohol consumption and alcohol misuse and to explore the shared genetic basis between these measures and other substance use, psychiatric, and behavioral traits.MethodThis study used quantitative measures from the Alcohol Use Disorders Identification Test (AUDIT) from two population-based cohorts of European ancestry (UK Biobank [N=121,604] and 23andMe [N=20,328]) and performed a genome-wide association study (GWAS) meta-analysis. Two additional GWAS analyses were performed, a GWAS for AUDIT scores on items 1-3, which focus on consumption (AUDIT-C), and for scores on items 4-10, which focus on the problematic consequences of drinking (AUDIT-P).ResultsThe GWAS meta-analysis of AUDIT total score identified 10 associated risk loci. Novel associations localized to genes including JCAD and SLC39A13; this study also replicated previously identified signals in the genes ADH1B, ADH1C, KLB, and GCKR. The dimensions of AUDIT showed positive genetic correlations with alcohol consumption (rg=0.76-0.92) and DSM-IV alcohol dependence (rg=0.33-0.63). AUDIT-P and AUDIT-C scores showed significantly different patterns of association across a number of traits, including psychiatric disorders. AUDIT-P score was significantly positively genetically correlated with schizophrenia (rg=0.22), major depressive disorder (rg=0.26), and attention deficit hyperactivity disorder (rg=0.23), whereas AUDIT-C score was significantly negatively genetically correlated with major depressive disorder (rg=-0.24) and ADHD (rg=-0.10). This study also used the AUDIT data in the UK Biobank to identify thresholds for dichotomizing AUDIT total score that optimize genetic correlations with DSM-IV alcohol dependence. Coding individuals with AUDIT total scores ≤4 as control subjects and those with scores ≥12 as case subjects produced a significant high genetic correlation with DSM-IV alcohol dependence (rg=0.82) while retaining most subjects.ConclusionsAUDIT scores ascertained in population-based cohorts can be used to explore the genetic basis of both alcohol consumption and alcohol use disorders.
Published: 2019

13. Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Author: Walters, Raymond K, Polimanti, Renato, Johnson, Emma C, McClintick, Jeanette N, Adams, Mark J, Adkins, Amy E, Aliev, Fazil, Bacanu, Silviu-Alin, Batzler, Anthony, Bertelsen, Sarah, Biernacka, Joanna M, Bigdeli, Tim B, Chen, Li-Shiun, Clarke, Toni-Kim, Chou, Yi-Ling, Degenhardt, Franziska, Docherty, Anna R, Edwards, Alexis C, Fontanillas, Pierre, Foo, Jerome C, Fox, Louis, Frank, Josef, Giegling, Ina, Gordon, Scott, Hack, Laura M, Hartmann, Annette M, Hartz, Sarah M, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hodgkinson, Colin, Hoffmann, Per, Jan Hottenga, Jouke, Kennedy, Martin A, Alanne-Kinnunen, Mervi, Konte, Bettina, Lahti, Jari, Lahti-Pulkkinen, Marius, Lai, Dongbing, Ligthart, Lannie, Loukola, Anu, Maher, Brion S, Mbarek, Hamdi, McIntosh, Andrew M, McQueen, Matthew B, Meyers, Jacquelyn L, Milaneschi, Yuri, Palviainen, Teemu, Pearson, John F, Peterson, Roseann E, Ripatti, Samuli, Ryu, Euijung, Saccone, Nancy L, Salvatore, Jessica E, Sanchez-Roige, Sandra, Schwandt, Melanie, Sherva, Richard, Streit, Fabian, Strohmaier, Jana, Thomas, Nathaniel, Wang, Jen-Chyong, Webb, Bradley T, Wedow, Robbee, Wetherill, Leah, Wills, Amanda G, Boardman, Jason D, Chen, Danfeng, Choi, Doo-Sup, Copeland, William E, Culverhouse, Robert C, Dahmen, Norbert, Degenhardt, Louisa, Domingue, Benjamin W, Elson, Sarah L, Frye, Mark A, Gäbel, Wolfgang, Hayward, Caroline, Ising, Marcus, Keyes, Margaret, Kiefer, Falk, Kramer, John, Kuperman, Samuel, Lucae, Susanne, Lynskey, Michael T, Maier, Wolfgang, Mann, Karl, Männistö, Satu, Müller-Myhsok, Bertram, Murray, Alison D, Nurnberger, John I, Palotie, Aarno, Preuss, Ulrich, Räikkönen, Katri, Reynolds, Maureen D, Ridinger, Monika, Scherbaum, Norbert, Schuckit, Marc A, Soyka, Michael, Treutlein, Jens, Witt, Stephanie, and Wodarz, Norbert
Subjects: Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Alcoholism, Alcohol Use and Health, Neurosciences, Brain Disorders, Substance Misuse, Mental Health, Genetics, Behavioral and Social Science, Human Genome, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Alcoholism, Alleles, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Mental Disorders, Phenotype, Polymorphism, Single Nucleotide, 23andMe Research Team, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract: Liability to alcohol dependence (AD) is heritable, but little is known about its complex polygenic architecture or its genetic relationship with other disorders. To discover loci associated with AD and characterize the relationship between AD and other psychiatric and behavioral outcomes, we carried out the largest genome-wide association study to date of DSM-IV-diagnosed AD. Genome-wide data on 14,904 individuals with AD and 37,944 controls from 28 case-control and family-based studies were meta-analyzed, stratified by genetic ancestry (European, n = 46,568; African, n = 6,280). Independent, genome-wide significant effects of different ADH1B variants were identified in European (rs1229984; P = 9.8 × 10-13) and African ancestries (rs2066702; P = 2.2 × 10-9). Significant genetic correlations were observed with 17 phenotypes, including schizophrenia, attention deficit-hyperactivity disorder, depression, and use of cigarettes and cannabis. The genetic underpinnings of AD only partially overlap with those for alcohol consumption, underscoring the genetic distinction between pathological and nonpathological drinking behaviors.
Published: 2018

14. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection

Author: Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, GERAD1 Consortium, CRESTAR Consortium, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR
Subjects: Serious Mental Illness, Brain Disorders, Human Genome, Genetics, Mental Health, Biotechnology, Schizophrenia, 2.1 Biological and endogenous factors, Aetiology, Mental health, Good Health and Well Being, Alleles, Case-Control Studies, Gene Frequency, Genes, Lethal, Genetic Loci, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Inheritance Patterns, Polymorphism, Single Nucleotide, Selection, Genetic, GERAD1 Consortium, CRESTAR Consortium, Biological Sciences, Medical and Health Sciences, Developmental Biology
Abstract: Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population.
Published: 2018

15. Evidence for Genetic Overlap Between Schizophrenia and Age at First Birth in Women

Author: Mehta, Divya, Tropf, Felix C, Gratten, Jacob, Bakshi, Andrew, Zhu, Zhihong, Bacanu, Silviu-Alin, Hemani, Gibran, Magnusson, Patrik KE, Barban, Nicola, Esko, Tõnu, Metspalu, Andres, Snieder, Harold, Mowry, Bryan J, Kendler, Kenneth S, Yang, Jian, Visscher, Peter M, McGrath, John J, Mills, Melinda C, Wray, Naomi R, Lee, S Hong, Andreassen, Ole A, Bramon, Elvira, Bruggeman, Richard, Buxbaum, Joseph D, Cairns, Murray J, Cantor, Rita M, Cloninger, C Robert, Cohen, David, Crespo-Facorro, Benedicto, Darvasi, Ariel, DeLisi, Lynn E, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Escott-Price, Valentina, Freimer, Nelson B, Georgieva, Lyudmila, de Haan, Lieuwe, Henskens, Frans A, Joa, Inge, Julià, Antonio, Khrunin, Andrey, Lerer, Bernard, Limborska, Svetlana, Loughland, Carmel M, Macek, Milan, Marsal, Sara, McCarley, Robert W, McIntosh, Andrew M, McQuillin, Andrew, Melegh, Bela, Michie, Patricia T, Morris, Derek W, Murphy, Kieran C, Myin-Germeys, Inez, Olincy, Ann, Van Os, Jim, Pantelis, Christos, Posthuma, Danielle, Quested, Digby, Schall, Ulrich, Scott, Rodney J, Seidman, Larry J, Toncheva, Draga, Tooney, Paul A, Waddington, John, Weinberger, Daniel R, Weiser, Mark, and Wu, Jing Qin
Subjects: Biological Sciences, Biomedical and Clinical Sciences, Genetics, Epidemiology, Health Sciences, Human Genome, Prevention, Brain Disorders, Serious Mental Illness, Mental Health, Schizophrenia, Clinical Research, Mental health, Adult, Alleles, Birth Order, Cohort Studies, Denmark, Female, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Maternal Age, Phenotype, Pregnancy, Risk, Schizophrenia Working Group of the Psychiatric Genomics Consortium, LifeLines Cohort Study, and TwinsUK, Other Medical and Health Sciences, Psychology, Cognitive Sciences, Clinical sciences, Clinical and health psychology
Abstract: ImportanceA recently published study of national data by McGrath et al in 2014 showed increased risk of schizophrenia (SCZ) in offspring associated with both early and delayed parental age, consistent with a U-shaped relationship. However, it remains unclear if the risk to the child is due to psychosocial factors associated with parental age or if those at higher risk for SCZ tend to have children at an earlier or later age.ObjectiveTo determine if there is a genetic association between SCZ and age at first birth (AFB) using genetically informative but independently ascertained data sets.Design, setting, and participantsThis investigation used multiple independent genome-wide association study data sets. The SCZ sample comprised 18 957 SCZ cases and 22 673 controls in a genome-wide association study from the second phase of the Psychiatric Genomics Consortium, and the AFB sample comprised 12 247 genotyped women measured for AFB from the following 4 community cohorts: Estonia (Estonian Genome Center Biobank, University of Tartu), the Netherlands (LifeLines Cohort Study), Sweden (Swedish Twin Registry), and the United Kingdom (TwinsUK). Schizophrenia genetic risk for each woman in the AFB community sample was estimated using genetic effects inferred from the SCZ genome-wide association study.Main outcomes and measuresWe tested if SCZ genetic risk was a significant predictor of response variables based on published polynomial functions that described the relationship between maternal age and SCZ risk in offspring in Denmark. We substituted AFB for maternal age in these functions, one of which was corrected for the age of the father, and found that the fit was superior for the model without adjustment for the father's age.ResultsWe observed a U-shaped relationship between SCZ risk and AFB in the community cohorts, consistent with the previously reported relationship between SCZ risk in offspring and maternal age when not adjusted for the age of the father. We confirmed that SCZ risk profile scores significantly predicted the response variables (coefficient of determination R2 = 1.1E-03, P = 4.1E-04), reflecting the published relationship between maternal age and SCZ risk in offspring by McGrath et al in 2014.Conclusions and relevanceThis study provides evidence for a significant overlap between genetic factors associated with risk of SCZ and genetic factors associated with AFB. It has been reported that SCZ risk associated with increased maternal age is explained by the age of the father and that de novo mutations that occur more frequently in the germline of older men are the underlying causal mechanism. This explanation may need to be revised if, as suggested herein and if replicated in future studies, there is also increased genetic risk of SCZ in older mothers.
Published: 2016

16. Rare loss-of-function variants in SETD1A are associated with schizophrenia and developmental disorders

Author: Singh, Tarjinder, Kurki, Mitja I, Curtis, David, Purcell, Shaun M, Crooks, Lucy, McRae, Jeremy, Suvisaari, Jaana, Chheda, Himanshu, Blackwood, Douglas, Breen, Gerome, Pietiläinen, Olli, Gerety, Sebastian S, Ayub, Muhammad, Blyth, Moira, Cole, Trevor, Collier, David, Coomber, Eve L, Craddock, Nick, Daly, Mark J, Danesh, John, DiForti, Marta, Foster, Alison, Freimer, Nelson B, Geschwind, Daniel, Johnstone, Mandy, Joss, Shelagh, Kirov, Georg, Körkkö, Jarmo, Kuismin, Outi, Holmans, Peter, Hultman, Christina M, Iyegbe, Conrad, Lönnqvist, Jouko, Männikkö, Minna, McCarroll, Steve A, McGuffin, Peter, McIntosh, Andrew M, McQuillin, Andrew, Moilanen, Jukka S, Moore, Carmel, Murray, Robin M, Newbury-Ecob, Ruth, Ouwehand, Willem, Paunio, Tiina, Prigmore, Elena, Rees, Elliott, Roberts, David, Sambrook, Jennifer, Sklar, Pamela, Clair, David St, Veijola, Juha, Walters, James TR, Williams, Hywel, Sullivan, Patrick F, Hurles, Matthew E, O'Donovan, Michael C, Palotie, Aarno, Owen, Michael J, and Barrett, Jeffrey C
Subjects: Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Genetics, Serious Mental Illness, Human Genome, Schizophrenia, Biotechnology, Brain Disorders, Mental Health, 2.1 Biological and endogenous factors, Aetiology, Mental health, Case-Control Studies, Cohort Studies, Female, Finland, Genetic Association Studies, Genetic Predisposition to Disease, Genetic Variation, Histone-Lysine N-Methyltransferase, Humans, Male, Neurodevelopmental Disorders, Swedish Schizophrenia Study, INTERVAL Study, DDD Study, UK10 K Consortium, Neurosciences, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract: By analyzing the whole-exome sequences of 4,264 schizophrenia cases, 9,343 controls and 1,077 trios, we identified a genome-wide significant association between rare loss-of-function (LoF) variants in SETD1A and risk for schizophrenia (P = 3.3 × 10(-9)). We found only two heterozygous LoF variants in 45,376 exomes from individuals without a neuropsychiatric diagnosis, indicating that SETD1A is substantially depleted of LoF variants in the general population. Seven of the ten individuals with schizophrenia carrying SETD1A LoF variants also had learning difficulties. We further identified four SETD1A LoF carriers among 4,281 children with severe developmental disorders and two more carriers in an independent sample of 5,720 Finnish exomes, both with notable neuropsychiatric phenotypes. Together, our observations indicate that LoF variants in SETD1A cause a range of neurodevelopmental disorders, including schizophrenia. Combining these data with previous common variant evidence, we suggest that epigenetic dysregulation, specifically in the histone H3K4 methylation pathway, is an important mechanism in the pathogenesis of schizophrenia.
Published: 2016

17. Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept

Author: Franke, Barbara, Stein, Jason L, Ripke, Stephan, Anttila, Verneri, Hibar, Derrek P, van Hulzen, Kimm JE, Arias-Vasquez, Alejandro, Smoller, Jordan W, Nichols, Thomas E, Neale, Michael C, McIntosh, Andrew M, Lee, Phil, McMahon, Francis J, Meyer-Lindenberg, Andreas, Mattheisen, Manuel, Andreassen, Ole A, Gruber, Oliver, Sachdev, Perminder S, Roiz-Santiañez, Roberto, Saykin, Andrew J, Ehrlich, Stefan, Mather, Karen A, Turner, Jessica A, Schwarz, Emanuel, Thalamuthu, Anbupalam, Yao, Yin, Ho, Yvonne YW, Martin, Nicholas G, Wright, Margaret J, O'Donovan, Michael C, Thompson, Paul M, Neale, Benjamin M, Medland, Sarah E, and Sullivan, Patrick F
Subjects: Biological Psychology, Pharmacology and Pharmaceutical Sciences, Biomedical and Clinical Sciences, Psychology, Schizophrenia, Neurosciences, Genetics, Serious Mental Illness, Mental Health, Brain Disorders, Human Genome, Aetiology, 2.1 Biological and endogenous factors, Neurological, Mental health, Brain, Endophenotypes, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Magnetic Resonance Imaging, Neuroimaging, Organ Size, Polymorphism, Single Nucleotide, Schizophrenia Working Group of the Psychiatric Genomics Consortium, ENIGMA Consortium, Cognitive Sciences, Neurology & Neurosurgery, Biological psychology
Abstract: Schizophrenia is a devastating psychiatric illness with high heritability. Brain structure and function differ, on average, between people with schizophrenia and healthy individuals. As common genetic associations are emerging for both schizophrenia and brain imaging phenotypes, we can now use genome-wide data to investigate genetic overlap. Here we integrated results from common variant studies of schizophrenia (33,636 cases, 43,008 controls) and volumes of several (mainly subcortical) brain structures (11,840 subjects). We did not find evidence of genetic overlap between schizophrenia risk and subcortical volume measures either at the level of common variant genetic architecture or for single genetic markers. These results provide a proof of concept (albeit based on a limited set of structural brain measures) and define a roadmap for future studies investigating the genetic covariance between structural or functional brain phenotypes and risk for psychiatric disorders.
Published: 2016

18. Genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis

Author: Grotzinger, Andrew D., Mallard, Travis T., Akingbuwa, Wonuola A., Ip, Hill F., Adams, Mark J., Lewis, Cathryn M., Mcintosh, Andrew M., Grove, Jakob, Dalsgaard, Søren, Lesch, Klaus-peter, Strom, Nora, Meier, Sandra M., Mattheisen, Manuel, Børglum, Anders D., Mors, Ole, Breen, Gerome, Lee, Phil H., Kendler, Kenneth S., Smoller, Jordan W., Tucker-drob, Elliot M., Nivard, Michel G., Psychiatrie & Neuropsychologie, RS: MHeNs - R3 - Neuroscience, Biological Psychology, APH - Mental Health, APH - Personalized Medicine, and APH - Methodology
Subjects: Mental Disorders/genetics, Genome, HERITABILITY, Mental Disorders, PSYCHOPATHOLOGY, Genomics, Polymorphism, Single Nucleotide/genetics, Polymorphism, Single Nucleotide, SDG 3 - Good Health and Well-being, Genetics, Humans, TOOL, WIDE ASSOCIATION, Genetic Predisposition to Disease, Molecular Biology, Genome-Wide Association Study
Abstract: We interrogate the joint genetic architecture of 11 major psychiatric disorders at biobehavioral, functional genomic and molecular genetic levels of analysis. We identify four broad factors (neurodevelopmental, compulsive, psychotic and internalizing) that underlie genetic correlations among the disorders and test whether these factors adequately explain their genetic correlations with biobehavioral traits. We introduce stratified genomic structural equation modeling, which we use to identify gene sets that disproportionately contribute to genetic risk sharing. This includes protein-truncating variant-intolerant genes expressed in excitatory and GABAergic brain cells that are enriched for genetic overlap across disorders with psychotic features. Multivariate association analyses detect 152 (20 new) independent loci that act on the individual factors and identify nine loci that act heterogeneously across disorders within a factor. Despite moderate-to-high genetic correlations across all 11 disorders, we find little utility of a single dimension of genetic risk across psychiatric disorders either at the level of biobehavioral correlates or at the level of individual variants.
Published: 2022
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19. A polygenic resilience score moderates the genetic risk for schizophrenia

Author: Hess, Jonathan L, Tylee, Daniel S, Mors, Ole, Duan, Jubao, Dudbridge, Frank, Duncanson, Audrey, Durmishi, Naser, Edkins, Sarah, Ehrenreich, Hannelore, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Esko, Tõnu, Nordentoft, Merete, Essioux, Laurent, Fanous, Ayman H, Farh, Kai-How, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freeman, Colin, Freimer, Nelson B, Friedl, Marion, Hougaard, David M, Friedman, Joseph I, Fromer, Menachem, Gejman, Pablo V, Genovese, Giulio, Georgieva, Lyudmila, Giannoulatou, Eleni, Giegling, Ina, Gill, Michael, Gillman, Matthew, Giusti-Rodríguez, Paola, Byberg-Grauholm, Jonas, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, Gray, Emma, Gurling, Hugh, Gwilliam, Rhian, de Haan, Lieuwe, Hall, Jeremy, Bækvad-Hansen, Marie, Hammer, Christian, Hammond, Naomi, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Hellenthal, Garrett, Henskens, Frans A, Herms, Stefan, Greenwood, Tiffany A, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Huang, Hailiang, Hultman, Christina M, Hunt, Sarah E, Ikeda, Masashi, Iwata, Nakao, Iyegbe, Conrad, Tsuang, Ming T, Jablensky, Assen V, Jankowski, Janusz, Jayakumar, Alagurevathi, Joa, Inge, Jönsson, Erik G, Julià, Antonio, Kähler, Anna K, Kahn, René S, Kalaydjieva, Luba, Karachanak-Yankova, Sena, Curtis, David, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C, Kendler, Kenneth S, Kennedy, James L, Khrunin, Andrey, Kim, Yunjung, Kirov, George, Klovins, Janis, Knight, Jo, Steinberg, Stacy, Knowles, James A, Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Langford, Cordelia, Laurent, Claudine, Lawrie, Stephen, Lee, S Hong, Lee, Phil, Sigurdsson, Engilbert, Lee, Jimmy, Legge, Sophie E, Lencz, Todd, Lerer, Bernard, Levinson, Douglas F, Lewis, Cathryn M, Li, Tao, Li, Qingqin S, Li, Miaoxin, Liang, Kung-Yee, Mattheisen, Manuel, Stefánsson, Hreinn, Liddle, Jennifer, Lieberman, Jeffrey, Limborska, Svetlana, Lin, Kuang, Linszen, Don H, Liu, Jianjun, Lönnqvist, Jouko, Loughland, Carmel M, Lubinski, Jan, Macek, Milan, Stefánsson, Kári, Magnusson, Patrik K E, Maher, Brion S, Maier, Wolfgang, Malhotra, Anil K, Mallet, Jacques, Markus, Hugh S, Marsal, Sara, Mata, Ignacio, Mathew, Christopher G, Mattingsdal, Morten, Edenberg, Howard J, McCann, Owen T, McCarley, Robert W, McCarroll, Steven A, McCarthy, Mark I, McDonald, Colm, McIntosh, Andrew M, McQuillin, Andrew, Meier, Sandra, Meijer, Carin J, Melegh, Bela, Holmans, Peter, Melle, Ingrid, Mesholam-Gately, Raquelle I, Metspalu, Andres, Michie, Patricia T, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Moran, Jennifer L, Morris, Derek W, Mowry, Bryan J, Faraone, Stephen V, Müller-Myhsok, Bertram, Murphy, Kieran C, Murray, Robin M, Myin-Germeys, Inez, Neale, Benjamin M, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A, Nestadt, Gerald, Nicodemus, Kristin K, Glatt, Stephen J, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, Nöthen, Markus M, O'Callaghan, Eadbhard, O'Donovan, Michael C, O'Dushlaine, Colm, O'Neill, F Anthony, Oh, Sang-Yun, Olincy, Ann, Adolfsson, Rolf, Olsen, Line, Ophoff, Roel A, Van Os, Jim, Owen, Michael J, Palmer, Colin N A, Palotie, Aarno, Pantelis, Christos, Papadimitriou, George N, Papiol, Sergi, Parkhomenko, Elena, Agartz, Ingrid, Pato, Michele T, Pato, Carlos N, Paunio, Tiina, Pearson, Richard, Cairns, Murray J, DeLisi, Lynn E, Gershon, Elliot S, Kelly, Brian J, Lam, Max, Norgren, Nina, Agerbo, Esben, Paciga, Sara A, Tooney, Paul A, Wu, Jing Qin, Pejovic-Milovancevic, Milica, Perkins, Diana O, Pers, Tune H, Petryshen, Tracey L, Pietiläinen, Olli, Pimm, Jonathan, Pirinen, Matti, Albus, Margot, Plomin, Robert, Pocklington, Andrew J, Posthuma, Danielle, Potter, Simon C, Powell, John, Price, Alkes, Pulver, Ann E, Purcell, Shaun M, Quested, Digby, Rasmussen, Henrik B, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Alexander, Madeline, Rautanen, Anna, Ravindrarajah, Radhi, Reichenberg, Abraham, Reimers, Mark A, Richards, Alexander L, Ricketts, Michelle, Rietschel, Marcella, Riley, Brien P, Ripke, Stephan, Roffman, Joshua L, Amin, Farooq, Roussos, Panos, Ruderfer, Douglas M, Rujescu, Dan, Salomaa, Veikko, Sanders, Alan R, Sawcer, Stephen J, Schall, Ulrich, Schubert, Christian R, Schulze, Thomas G, Schwab, Sibylle G, Andreassen, Ole A, Scolnick, Edward M, Scott, Rodney J, Seidman, Larry J, Sham, Pak C, Shi, Jianxin, Silagadze, Teimuraz, Silverman, Jeremy M, Sim, Kang, Sklar, Pamela, Arranz, Maria J, Slominsky, Petr, Smoller, Jordan W, So, Hon-Cheong, Söderman, Erik, Spencer, Chris C A, Clair, David St, Stahl, Eli A, Stogmann, Elisabeth, Strange, Amy, Straub, Richard E, Bacanu, Silviu A, Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Su, Zhan, Subramaniam, Mythily, Sullivan, Patrick F, Suvisaari, Jaana, Svrakic, Dragan M, Szatkiewicz, Jin P, Tashakkori-Ghanbaria, Avazeh, Bakker, Steven, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Trembath, Richard C, Veijola, Juha, Visscher, Peter M, Viswanathan, Ananth C, Vukcevic, Damjan, Waddington, John, Waller, Matthew, Band, Gavin, Walsh, Dermot, Walshe, Muriel, Walters, James T R, Wang, Qiang, Wang, Dai, Webb, Bradley T, Weinberger, Daniel R, Weisbrod, Matthias, Weiser, Mark, Wendland, Jens R, Barroso, Ines, Weston, Paul, Whittaker, Pamela, Widaa, Sara, Wiersma, Durk, Wildenauer, Dieter B, Williams, Stephanie, Williams, Nigel M, Witt, Stephanie H, Wolen, Aaron R, Wong, Emily H M, Begemann, Martin, Wood, Nicholas W, Wormley, Brandon K, Wray, Naomi R, Xi, Hualin Simon, Zai, Clement C, Zheng, Xuebin, Zimprich, Fritz, Bellenguez, Céline, Research, Lundbeck Foundation Initiative for Integrative Psychiatric, Belliveau, Richard A, Bender, Stephan, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Blackburn, Hannah, Blackwell, Jenefer M, Blackwood, Douglas H R, Børglum, Anders D, Bramon, Elvira, Brown, Matthew A, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Bulik-Sullivan, Brendan, Bumpstead, Suzannah J, Buxbaum, Joseph D, Byerley, William, Cahn, Wiepke, Als, Thomas D, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Casas, Juan P, Catts, Stanley V, Chambert, Kimberley D, Chan, Ronald Y L, Chan, Raymond C K, Grove, Jakob, Chen, Eric Y H, Cheng, Wei, Cheung, Eric F C, Chong, Siow Ann, Cichon, Sven, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Collier, David A, Cormican, Paul, Werge, Thomas, Corvin, Aiden, Craddock, Nick, Crespo-Facorro, Benedicto, Crowley, James J, Daly, Mark J, Darvasi, Ariel, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, Mortensen, Preben Bo, Deloukas, Panos, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Domenici, Enrico, Donnelly, Peter, Donohoe, Gary, Drapeau, Elodie, Dronov, Serge, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, Adult Psychiatry, ANS - Complex Trait Genetics, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Hess, Jonathan L, Tylee, Daniel S, Mattheisen, Manuel, Borglum, Anders D, Glatt, Stephen J, Lee, Sand Hong, Schizophrenia Working Group of thePsychiatric Genomics Consortium, Lundbeck Foundation Initiative for Integrative Psychiatric Research (iPSYCH), Amsterdam Neuroscience - Complex Trait Genetics, Complex Trait Genetics, and Myin-Germeys, Inez
Subjects: Multifactorial Inheritance, Schizophrenia/genetics, Genome-wide association study, Disease, Medical and Health Sciences, 0302 clinical medicine, Risk Factors, schizophrenia, genetics, risk, 2.1 Biological and endogenous factors, genetics, polygenic score, Aetiology, genome wide association study, risk, Genetics, Psychiatry, 0303 health sciences, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Genetic Predisposition to Disease/genetics, Single Nucleotide, Genomics, Biological Sciences, Serious Mental Illness, Polymorphism, Single Nucleotide/genetics, Penetrance, 3. Good health, Psychiatry and Mental health, Mental Health, Mendelian disease, Erfðarannsóknir, Life Sciences & Biomedicine, Single Nucleotide/genetics, Biochemistry & Molecular Biology, Schizophrenia (object-oriented programming), high risk, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Geðklofi, Humans, Genetic Predisposition to Disease, ddc:610, Allele, Polymorphism, Resilience (network), Molecular Biology, resilience, Multifactorial Inheritance/genetics, Alleles, 030304 developmental biology, Science & Technology, Prevention, Human Genome, Psychology and Cognitive Sciences, Neurosciences, Brain Disorders, Lundbeck Foundation Initiative for Integrative Psychiatric Research, schizophrenia, Good Health and Well Being, Schizophrenia, Neurosciences & Neurology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Publisher's version (útgefin grein), Based on the discovery by the Resilience Project (Chen R. et al. Nat Biotechnol 34:531–538, 2016) of rare variants that confer resistance to Mendelian disease, and protective alleles for some complex diseases, we posited the existence of genetic variants that promote resilience to highly heritable polygenic disorders1,0 such as schizophrenia. Resilience has been traditionally viewed as a psychological construct, although our use of the term resilience refers to a different construct that directly relates to the Resilience Project, namely: heritable variation that promotes resistance to disease by reducing the penetrance of risk loci, wherein resilience and risk loci operate orthogonal to one another. In this study, we established a procedure to identify unaffected individuals with relatively high polygenic risk for schizophrenia, and contrasted them with risk-matched schizophrenia cases to generate the first known “polygenic resilience score” that represents the additive contributions to SZ resistance by variants that are distinct from risk loci. The resilience score was derived from data compiled by the Psychiatric Genomics Consortium, and replicated in three independent samples. This work establishes a generalizable framework for finding resilience variants for any complex, heritable disorder., SJG is supported by grants from the U.S. National Institutes of Health (5R01MH101519, 5R01AG054002), the Sidney R. Baer, Jr. Foundation, and NARSAD: The Brain & Behavior Research Foundation. SVF is supported by the K.G. Jebsen Centre for Research on Neuropsychiatric Disorders, University of Bergen, Bergen, Norway, the European Union’s Seventh Framework Programme for research, technological development and demonstration under grant agreement number 602805, the European Union’s Horizon 2020 research and innovation programme under grant agreement number 667302 and NIMH grants 5R01MH101519 and U01 MH109536-01. HJE is supported by grants from the U.S. National Institutes of Health (U10 AA008401; U01 MH109532). Statistical analyses were conducted on the Genetic Cluster Computer, which is financially supported by the Netherlands Scientific Organization (NOW; 480-05-003) along with a supplement from the Dutch Brain Foundation and VU University. The Danish iPSYCH (The Lundbeck Foundation Initiative for Integrative Psychiatric Research) and GEMS2 teams acknowledge funding from The Lundbeck Foundation (grant no R102-A9118 and R155-2014-1724), the Stanley Medical Research Institute, an Advanced Grant from the European Research Council (project no: 294838), the Danish Strategic Research Council and grants from Aarhus University to the iSEQ and CIRRAU centers. The Danish National Biobank resource at Statens Serum Institut was supported by the Novo Nordisk Foundation. Computational resources for handling and statistical analysis of iPSYCH data on the GenomeDK HPC facility were provided by the iSEQ center, Aarhus University, Denmark (grant to ADB).
Published: 2021
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20. Interaction Testing and Polygenic Risk Scoring to Estimate the Association of Common Genetic Variants With Treatment Resistance in Schizophrenia

Author: Pardiñas, Antonio F., Smart, Sophie E., Corvin, Aiden, Freimer, Nelson B., Friedl, Marion, Friedman, Joseph I., Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Gershon, Elliot S., Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Fanous, Ayman H., Goldstein, Jacqueline I., Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, Haan, Lieuwe de, Hammer, Christian, Hamshere, Marian L., Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Frank, Josef, Hartmann, Annette M., Henskens, Frans A., Herms, Stefan, Hirschhorn, Joel N., Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V., Hougaard, David M., Ikeda, Masashi, Joa, Inge, Kelly, Brian, Julià, Antonio, Kahn, René S., Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C., Kennedy, James L., Khrunin, Andrey, Kim, Yunjung, McQuillin, Andrew, Klovins, Janis, Knowles, James A., Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K., Laurent, Claudine, Keong, Jimmy Lee Chee, Lee, S. Hong, Melle, Ingrid, Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M., Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Mortensen, Preben B., Magnusson, Patrik K. E., Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W., McDonald, Colm, McIntosh, Andrew M., Mowry, Bryan J., Meier, Sandra, Meijer, Carin J., Melegh, Bela, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mokrab, Younes, Pato, Carlos N., Morris, Derek W., Mors, Ole, Murphy, Kieran C., Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Nicodemus, Kristin K., Periyasamy, Sathish, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O’Callaghan, Eadbhard, O’Dushlaine, Colm, O’Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Os, Jim Van, Willcocks, Isabella R., Rietschel, Marcella, Pantelis, Christos, Papadimitriou, George N., Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T., Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O., Pietiläinen, Olli, Pimm, Jonathan, Rujescu, Dan, Pocklington, Andrew J., Powell, John, Price, Alkes, Pulver, Ann E., Purcell, Shaun M., Quested, Digby, Rasmussen, Henrik B., Reichenberg, Abraham, Reimers, Mark A., Richards, Alexander L., Simonsen, Carmen, Roffman, Joshua L., Roussos, Panos, Ruderfer, Douglas M., Salomaa, Veikko, Sanders, Alan R., Schall, Ulrich, Schubert, Christian R., Schulze, Thomas G., Schwab, Sibylle G., Scolnick, Edward M., St Clair, David, Scott, Rodney J., Seidman, Larry J., Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M., Sim, Kang, Slominsky, Petr, Smoller, Jordan W., So, Hon-Cheong, Tooney, Paul, Spencer, Chris C. A., Stahl, Eli A., Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E., Strengman, Eric, Strohmaier, Jana, Stroup, T. Scott, Subramaniam, Mythily, Wu, Jing Qin, Suvisaari, Jaana, Svrakic, Dragan M., Szatkiewicz, Jin P., Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Andreassen, Ole A., Wang, Dai, Wang, Qiang, Webb, Bradley T., Weiser, Mark, Wildenauer, Dieter B., Williams, Nigel M., Williams, Stephanie, Witt, Stephanie H., Wolen, Aaron R., Wong, Emily H. M., Kowalec, Kaarina, Wormley, Brandon K., Xi, Hualin Simon, Zai, Clement C., Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R., Stefansson, Kari, Visscher, Peter M., Adolfsson, Rolf, Blackwood, Douglas H. R., Sullivan, Patrick F., Bramon, Elvira, Buxbaum, Joseph D., Børglum, Anders D., Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V., Gill, Michael, Murray, Robin M., Gurling, Hugh, Hultman, Christina M., Iwata, Nakao, Jablensky, Assen V., Jönsson, Erik G., Kendler, Kenneth S., Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F., Holmans, Peter A., Owen, Michael J., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., McCarroll, Steven A., Moran, Jennifer L., Nöthen, Markus M., Ophoff, Roel A., Palotie, Aarno, Petryshen, Tracey L., MacCabe, James H., Posthuma, Danielle, Riley, Brien P., Sham, Pak C., Sklar, Pamela, Clair, David St, Weinberger, Daniel R., Wendland, Jens R., Werge, Thomas, Daly, Mark J., Agbedjro, Deborah, O’Donovan, Michael C., Stahl, Daniel, Kapur, Shitij, Millgate, Edward, Kepinska, Adrianna, Kravariti, Eugenia, Ajnakina, Olesya, Alameda, Luis, Barnes, Thomas R. E., Berardi, Domenico, Bonora, Elena, Walters, James T. R., Camporesi, Sara, Cleusix, Martine, Conus, Philippe, Crespo-Facorro, Benedicto, D’Andrea, Giuseppe, Demjaha, Arsime, Do, Kim Q., Doody, Gillian A., Eap, Chin B., Ferchiou, Aziz, Ripke, Stephan, Di Forti, Marta, Guidi, Lorenzo, Homman, Lina, Jenni, Raoul, Joyce, Eileen M., Kassoumeri, Laura, Khadimallah, Inès, Lastrina, Ornella, Muratori, Roberto, Noyan, Handan, Neale, Benjamin M., O’Neill, Francis A., Pignon, Baptiste, Restellini, Romeo, Richard, Jean-Romain, Schürhoff, Franck, Španiel, Filip, Szöke, Andrei, Tarricone, Ilaria, Tortelli, Andrea, Üçok, Alp, Farh, Kai-How, Vázquez-Bourgon, Javier, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A., Dennison, Charlotte A., Huang, Hailiang, Pers, Tune H., Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A ., Lynham, Amy J., Bene, Judit, Bergen, Sarah E., Bevilacqua, Elizabeth, Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Byerley, William, Cahn, Wiepke, Cai, Guiqing, Legge, Sophie E., Campion, Dominique, Cantor, Rita M., Carr, Vaughan J., Carrera, Noa, Catts, Stanley V., Chambert, Kimberly D., Chan, Raymond C. K., Chen, Ronald Y. L., Chen, Eric Y. H., Cheng, Wei, Baune, Bernhard T., Cheung, Eric F. C., Chong, Siow Ann, Cloninger, C. Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J., Curtis, David, Davidson, Michael, Bigdeli, Tim B., Davis, Kenneth L., Degenhardt, Franziska, Favero, Jurgen Del, DeLisi, Lynn E., Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Cairns, Murray J., Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Farrell, Martilias S., Franke, Lude, Freedman, Robert, Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances (STRATA) Consortium and the Schizophrenia Working Group of the Psychiatric Genomics Consortium (PGC), Ripke, S., Neale, B.M., Farh, K.H., Lee, P., Bulik-Sullivan, B., Collier, D.A., Huang, H., Pers, T.H., Agartz, I., Agerbo, E., Albus, M., Alexander, M., Amin, F., Bacanu, S.A., Begemann, M., Belliveau, R.A., Bene, J., Bergen, S.E., Bevilacqua, E., Black, D.W., Bruggeman, R., Buccola, N.G., Buckner, R.L., Byerley, W., Cahn, W., Cai, G., Campion, D., Cantor, R.M., Carr, V.J., Carrera, N., Catts, S.V., Chambert, K.D., Chan, RCK, Chen, RYL, Chen, EYH, Cheng, W., Cheung, EFC, Chong, S.A., Cloninger, C.R., Cohen, D., Cohen, N., Cormican, P., Craddock, N., Crowley, J.J., Curtis, D., Davidson, M., Davis, K.L., Degenhardt, F., Favero, J.D., DeLisi, L.E., Demontis, D., Dikeos, D., Dinan, T., Djurovic, S., Donohoe, G., Drapeau, E., Duan, J., Dudbridge, F., Durmishi, N., Eichhammer, P., Eriksson, J., Escott-Price, V., Essioux, L., Farrell, M.S., Franke, L., Freedman, R., Freimer, N.B., Friedl, M., Friedman, J.I., Fromer, M., Genovese, G., Georgieva, L., Gershon, E.S., Giegling, I., Giusti-Rodríguez, P., Godard, S., Goldstein, J.I., Golimbet, V., Gopal, S., Gratten, J., Haan, L., Hammer, C., Hamshere, M.L., Hansen, M., Hansen, T., Haroutunian, V., Hartmann, A.M., Henskens, F.A., Herms, S., Hirschhorn, J.N., Hoffmann, P., Hofman, A., Hollegaard, M.V., Hougaard, D.M., Ikeda, M., Joa, I., Julià, A., Kahn, R.S., Kalaydjieva, L., Karachanak-Yankova, S., Karjalainen, J., Kavanagh, D., Keller, M.C., Kennedy, J.L., Khrunin, A., Kim, Y., Klovins, J., Knowles, J.A., Konte, B., Kucinskas, V., Kucinskiene, Z.A., Kuzelova-Ptackova, H., Kähler, A.K., Laurent, C., Keong, JLC, Lee, S.H., Lerer, B., Li, M., Li, T., Liang, K.Y., Lieberman, J., Limborska, S., Loughland, C.M., Lubinski, J., Lönnqvist, J., Macek, M., Magnusson, PKE, Maher, B.S., Maier, W., Mallet, J., Marsal, S., Mattheisen, M., Mattingsdal, M., McCarley, R.W., McDonald, C., McIntosh, A.M., Meier, S., Meijer, C.J., Melegh, B., Melle, I., Mesholam-Gately, R.I., Metspalu, A., Michie, P.T., Milani, L., Milanova, V., Mokrab, Y., Morris, D.W., Mors, O., Murphy, K.C., Myin-Germeys, I., Müller-Myhsok, B., Nelis, M., Nenadic, I., Nertney, D.A., Nestadt, G., Nicodemus, K.K., Nikitina-Zake, L., Nisenbaum, L., Nordin, A., O'Callaghan, E., O'Dushlaine, C., O'Neill, F.A., Oh, S.Y., Olincy, A., Olsen, L., Os, J.V., Pantelis, C., Papadimitriou, G.N., Papiol, S., Parkhomenko, E., Pato, M.T., Paunio, T., Pejovic-Milovancevic, M., Perkins, D.O., Pietiläinen, O., Pimm, J., Pocklington, A.J., Powell, J., Price, A., Pulver, A.E., Purcell, S.M., Quested, D., Rasmussen, H.B., Reichenberg, A., Reimers, M.A., Richards, A.L., Roffman, J.L., Roussos, P., Ruderfer, D.M., Salomaa, V., Sanders, A.R., Schall, U., Schubert, C.R., Schulze, T.G., Schwab, S.G., Scolnick, E.M., Scott, R.J., Seidman, L.J., Shi, J., Sigurdsson, E., Silagadze, T., Silverman, J.M., Sim, K., Slominsky, P., Smoller, J.W., So, H.C., Spencer, CCA, Stahl, E.A., Stefansson, H., Steinberg, S., Stogmann, E., Straub, R.E., Strengman, E., Strohmaier, J., Stroup, T.S., Subramaniam, M., Suvisaari, J., Svrakic, D.M., Szatkiewicz, J.P., Söderman, E., Thirumalai, S., Toncheva, D., Tosato, S., Veijola, J., Waddington, J., Walsh, D., Wang, D., Wang, Q., Webb, B.T., Weiser, M., Wildenauer, D.B., Williams, N.M., Williams, S., Witt, S.H., Wolen, A.R., Wong, EHM, Wormley, B.K., Xi, H.S., Zai, C.C., Zheng, X., Zimprich, F., Wray, N.R., Stefansson, K., Visscher, P.M., Adolfsson, R., Blackwood, DHR, Bramon, E., Buxbaum, J.D., Børglum, A.D., Cichon, S., Darvasi, A., Domenici, E., Ehrenreich, H., Esko, T., Gejman, P.V., Gill, M., Gurling, H., Hultman, C.M., Iwata, N., Jablensky, A.V., Jönsson, E.G., Kendler, K.S., Kirov, G., Knight, J., Lencz, T., Levinson, D.F., Li, Q.S., Liu, J., Malhotra, A.K., McCarroll, S.A., Moran, J.L., Mortensen, P.B., Nöthen, M.M., Ophoff, R.A., Palotie, A., Petryshen, T.L., Posthuma, D., Riley, B.P., Sham, P.C., Sklar, P., Clair, D.S., Weinberger, D.R., Wendland, J.R., Werge, T., Daly, M.J., Agbedjro, D., Stahl, D., Kapur, S., Millgate, E., Kepinska, A., Kravariti, E., Medical Research Council (UK), Cardiff University, Welsh Government, Health and Care Research Wales, European Commission, Academy of Medical Sciences (UK), Research Council of Norway, K. G. Jebsen Centres for Medical Research, National Institute for Health Research (UK), University College London, Government of Canada, University of Manitoba, Swedish Research Council, National Institute of Mental Health (US), Kings College London, Public Health Agency (Northern Ireland), The Psychiatry Research Trust, Maudsley Charity, Swiss National Science Foundation, Fondation Alamaya, Ministry of Health of the Czech Republic, Instituto de Salud Carlos III, Plan Nacional sobre Drogas (España), Fundació Seny, Fundación Marques de Valdecilla, Ministerio de Economía y Competitividad (España), Wellcome Trust, and Universidad de Cantabria
Subjects: Male, endocrine system, Multifactorial Inheritance, animal structures, Psychiatry and Behavioral Health, Online First, Humans, Genetic Predisposition to Disease, ddc:610, Neurogenetics, Medicinsk genetik, Original Investigation, Research, Schizophrenia Sprectum and Other Psychotic Disorders, Featured, Genetics and genomics, Psychiatry and Mental health, Neurology, Psychotic Disorders, Schizophrenia, Female, Medical Genetics, hormones, hormone substitutes, and hormone antagonists, Comments, Genome-Wide Association Study
Abstract: [Importance] About 20% to 30% of people with schizophrenia have psychotic symptoms that do not respond adequately to first-line antipsychotic treatment. This clinical presentation, chronic and highly disabling, is known as treatment-resistant schizophrenia (TRS). The causes of treatment resistance and their relationships with causes underlying schizophrenia are largely unknown. Adequately powered genetic studies of TRS are scarce because of the difficulty in collecting data from well-characterized TRS cohorts., [Objective] To examine the genetic architecture of TRS through the reassessment of genetic data from schizophrenia studies and its validation in carefully ascertained clinical samples., [Design, Setting, and Participants] Two case-control genome-wide association studies (GWASs) of schizophrenia were performed in which the case samples were defined as individuals with TRS (n = 10 501) and individuals with non-TRS (n = 20 325). The differences in effect sizes for allelic associations were then determined between both studies, the reasoning being such differences reflect treatment resistance instead of schizophrenia. Genotype data were retrieved from the CLOZUK and Psychiatric Genomics Consortium (PGC) schizophrenia studies. The output was validated using polygenic risk score (PRS) profiling of 2 independent schizophrenia cohorts with TRS and non-TRS: a prevalence sample with 817 individuals (Cardiff Cognition in Schizophrenia [CardiffCOGS]) and an incidence sample with 563 individuals (Genetics Workstream of the Schizophrenia Treatment Resistance and Therapeutic Advances [STRATA-G])., [Main Outcomes and Measures] GWAS of treatment resistance in schizophrenia. The results of the GWAS were compared with complex polygenic traits through a genetic correlation approach and were used for PRS analysis on the independent validation cohorts using the same TRS definition., [Results] The study included a total of 85 490 participants (48 635 [56.9%] male) in its GWAS stage and 1380 participants (859 [62.2%] male) in its PRS validation stage. Treatment resistance in schizophrenia emerged as a polygenic trait with detectable heritability (1% to 4%), and several traits related to intelligence and cognition were found to be genetically correlated with it (genetic correlation, 0.41-0.69). PRS analysis in the CardiffCOGS prevalence sample showed a positive association between TRS and a history of taking clozapine (r2 = 2.03%; P = .001), which was replicated in the STRATA-G incidence sample (r2 = 1.09%; P = .04)., [Conclusions and Relevance] In this GWAS, common genetic variants were differentially associated with TRS, and these associations may have been obscured through the amalgamation of large GWAS samples in previous studies of broadly defined schizophrenia. Findings of this study suggest the validity of meta-analytic approaches for studies on patient outcomes, including treatment resistance., This work was supported by Medical Research Council Centre grant MR/L010305/1, Medical Research Council Program grant MR/P005748/1, and Medical Research Council Project grants MR/L011794/1 and MC_PC_17212 to Cardiff University and by the National Centre for Mental Health, funded by the Welsh Government through Health and Care Research Wales. This work acknowledges the support of the Supercomputing Wales project, which is partially funded by the European Regional Development Fund via the Welsh Government. Dr Pardiñas was supported by an Academy of Medical Sciences Springboard Award (SBF005\1083). Dr Andreassen was supported by the Research Council of Norway (grants 283798, 262656, 248980, 273291, 248828, 248778, and 223273); KG Jebsen Stiftelsen, South-East Norway Health Authority, and the European Union’s Horizon 2020 Research and Innovation Programme (grant 847776). Dr Ajnakina was supported by an National Institute for Health Research postdoctoral fellowship (PDF-2018-11-ST2-020). Dr Joyce was supported by the University College London Hospitals/UCL University College London Biomedical Research Centre. Dr Kowalec received funding from the European Union’s Horizon 2020 Research and Innovation Programme under the Marie Skłodowska-Curie grant agreement (793530) from the government of Canada Banting postdoctoral fellowship programme and the University of Manitoba. Dr Sullivan was supported by the Swedish Research Council (Vetenskapsrådet, D0886501), the European Union’s Horizon 2020 programme (COSYN, 610307) and the US National Institute of Mental Health (U01 MH109528 and R01 MH077139). The Psychiatric Genomics Consortium was partly supported by the National Institute Of Mental Health (grants R01MH124873). The Sweden Schizophrenia Study was supported by the National Institute Of Mental Health (grant R01MH077139). The STRATA consortium was supported by a Stratified Medicine Programme grant to Dr MacCabe from the Medical Research Council (grant MR/L011794/1), which funded the research and supported Drs Pardiñas, Smart, Kassoumeri, Murray, Walters, and MacCabe. Dr Smart was supported by a Collaboration for Leadership in Applied Health Research and Care South London at King’s College Hospital National Health Service Foundation Trust. The AESOP (US) cohort was funded by the UK Medical Research Council (grant G0500817). The Belfast (UK) cohort was funded by the Research and Development Office of Northern Ireland. The Bologna (Italy) cohort was funded by the European Community’s Seventh Framework program (HEALTH-F2-2010–241909, project EU-GEI). The Genetics and Psychosis project (London, UK) cohort was funded by the UK National Institute of Health Research Specialist Biomedical Research Centre for Mental Health, South London and the Maudsley National Health Service Mental Health Foundation Trust (SLAM) and the Institute of Psychiatry, Psychology, and Neuroscience at King’s College London; Psychiatry Research Trust; Maudsley Charity Research Fund; and the European Community’s Seventh Framework program (HEALTH-F2-2009-241909, project EU-GEI). The Lausanne (Switzerland) cohort was funded by the Swiss National Science Foundation (grants 320030_135736/1, 320030-120686, 324730-144064, 320030-173211, and 171804); the National Center of Competence in Research Synaptic Bases of Mental Diseases from the Swiss National Science Foundation (grant 51AU40_125759); and Fondation Alamaya. The Oslo (Norway) cohort was funded by the Research Council of Norway (grant 223273/F50, under the Centers of Excellence funding scheme, 300309, 283798) and the South-Eastern Norway Regional Health Authority (grants 2006233, 2006258, 2011085, 2014102, 2015088, and 2017-112). The Paris (France) cohort was funded by European Community’s Seventh Framework program (HEALTH-F2-2010–241909, project EU-GEI). The Prague (Czech Republic) cohort was funded by the Ministry of Health of the Czech Republic (grant NU20-04-00393). The Santander (Spain) cohort was funded by the following grants to Dr Crespo-Facorro: Instituto de Salud Carlos III (grants FIS00/3095, PI020499, PI050427, and PI060507), Plan Nacional de Drogas Research (grant 2005-Orden sco/3246/2004), SENY Fundatio Research (grant 2005-0308007), Fundacion Marques de Valdecilla (grant A/02/07, API07/011) and Ministry of Economy and Competitiveness and the European Fund for Regional Development (grants SAF2016-76046-R and SAF2013-46292-R). The West London (UK) cohort was funded by The Wellcome Trust (grants 042025, 052247, and 064607).
Published: 2022
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21. A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

Author: Shen, Xueyi, Howard, David M, McIntosh, Andrew M, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Deary, Ian J, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Wray, Naomi R, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Ripke, Stephan, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Mattheisen, Manuel, Umbricht, Daniel, Auwera, Sandra Van der, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Trzaskowski, Maciej, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I, Cichon, Sven, Byrne, Enda M, Dannlowski, Udo, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Abdellaoui, Abdel, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela A F, Magnusson, Patrik K, Martin, Nicholas G, Metspalu, Andres, Mors, Ole, Agerbo, Esben, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Air, Tracy M, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Adams, Mark J, Andlauer, Till F M, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschøn, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Hill, W David, Castelao, Enrique, Christensen, Jane Hvarregaard, Coleman, Jonathan R I, Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Degenhardt, Franziska, Derks, Eske M, Clarke, Toni-Kim, Direk, Nese, Dolan, Conor V, Dunn, Erin C, Eley, Thalia C, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Foo, Jerome C, Forstner, Andreas J, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Whalley, Heather C, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Psychiatry, Human genetics, APH - Methodology, Epidemiology and Data Science, APH - Digital Health, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Adult Psychiatry, Shen, Xueyi [0000-0002-0538-4774], Howard, David M [0000-0002-6005-1972], Adams, Mark J [0000-0002-3599-6018], Whalley, Heather C [0000-0002-4505-8869], McIntosh, Andrew M [0000-0002-0198-4588], Apollo - University of Cambridge Repository, Epidemiology, Erasmus MC other, Urology, Child and Adolescent Psychiatry / Psychology, Internal Medicine, Medical Informatics, Immunology, Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), DISORDER, Male, General Physics and Astronomy, Genome-wide association study, Genome-wide association studies, 0302 clinical medicine, Risk Factors, SCHIZOPHRENIA, Medicine, lcsh:Science, Depression (differential diagnoses), Biological Specimen Banks, Multidisciplinary, Depression, Phenome-wide association, Mendelian Randomization Analysis, Middle Aged, Biobank, 3. Good health, ENVIRONMENT INTERACTION, symbols, Female, ddc:500, Clinical psychology, Science, Prefrontal Cortex, Genomics, Neuroimaging, Phenome, Polymorphism, Single Nucleotide, General Biochemistry, Genetics and Molecular Biology, Article, 03 medical and health sciences, symbols.namesake, SDG 3 - Good Health and Well-being, Humans, Genetic Predisposition to Disease, Mendelian Randomisation, Þunglyndi, Aged, business.industry, General Chemistry, MAJOR DEPRESSION, Mental health, Genarannsóknir, 030104 developmental biology, Mendelian inheritance, lcsh:Q, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Publisher's version (útgefin grein), Depression is a leading cause of worldwide disability but there remains considerable uncertainty regarding its neural and behavioural associations. Here, using non-overlapping Psychiatric Genomics Consortium (PGC) datasets as a reference, we estimate polygenic risk scores for depression (depression-PRS) in a discovery (N = 10,674) and replication (N = 11,214) imaging sample from UK Biobank. We report 77 traits that are significantly associated with depression-PRS, in both discovery and replication analyses. Mendelian Randomisation analysis supports a potential causal effect of liability to depression on brain white matter microstructure (β: 0.125 to 0.868, pFDR, The present study is supported by a Wellcome Trust Strategic Award “Stratifying Resilience and Depression Longitudinally” (STRADL) (Reference 104036/Z/14/Z) and MRC Mental Health Data Pathfinder Award (Reference MC_PC_17209). Data acquisition and analyses were conducted using the UK Biobank Resource under approved project #4844. Participation of the UK Biobank subjects is gratefully appreciated. We also thank UK Biobank team for collecting and preparing data for analyses. Funding from the Biotechnology and Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. The PGC has received major funding from the US National Institute of Mental Health (5 U01MH109528-03). We thank the research participants and employees of 23andMe for supporting this study. X.S. receives support from China Scholarship Council (No. 201506040037). H.C.W. is supported by a JMAS SIM fellowship from the Royal College of Physicians of Edinburgh and by an ESAT College Fellowship from the University of Edinburgh. D.M.H. is supported by a Sir Henry Wellcome Postdoctoral Fellowship (Reference 213674/Z/18/Z) and a 2018 NARSAD Young Investigator Grant from the Brain & Behavior Research Foundation (Reference 27404). W.D.H. is supported by a grant from Age UK (Disconnected Mind Project). A.M.M. is supported by the Sackler Trust. I.J.D. is a participant in UK Biobank.
Published: 2020
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22. Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits

Author: Grotzinger, Andrew D., Rhemtulla, Mijke, de Vlaming, Ronald, Ritchie, Stuart J., Mallard, Travis T., Hill, W. David, Ip, Hill F., Marioni, Riccardo E., McIntosh, Andrew M., Deary, Ian J., Koellinger, Philipp D., Harden, K. Paige, Nivard, Michel G., and Tucker-Drob, Elliot M.
Subjects: Multifactorial Inheritance, Latent Class Analysis, Mental Disorders, Multivariate Analysis, Humans, Genomics, Factor Analysis, Statistical, Polymorphism, Single Nucleotide, Article, Genome-Wide Association Study
Abstract: Genetic correlations estimated from genome-wide association studies (GWASs) reveal pervasive pleiotropy across a wide variety of phenotypes. We introduce genomic structural equation modelling (genomic SEM): a multivariate method for analysing the joint genetic architecture of complex traits. Genomic SEM synthesizes genetic correlations and single-nucleotide polymorphism heritabilities inferred from GWAS summary statistics of individual traits from samples with varying and unknown degrees of overlap. Genomic SEM can be used to model multivariate genetic associations among phenotypes, identify variants with effects on general dimensions of cross-trait liability, calculate more predictive polygenic scores and identify loci that cause divergence between traits. We demonstrate several applications of genomic SEM, including a joint analysis of summary statistics from five psychiatric traits. We identify 27 independent single-nucleotide polymorphisms not previously identified in the contributing univariate GWASs. Polygenic scores from genomic SEM consistently outperform those from univariate GWASs. Genomic SEM is flexible and open ended, and allows for continuous innovation in multivariate genetic analysis.
Published: 2019

23. Bipolar multiplex families have an increased burden of common risk variants for psychiatric disorders

Author: Andlauer, Till F M, Guzman-Parra, Jose, Orozco Diaz, Guillermo, Freimer, Nelson B, Frisén, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartolomei, Claudia, Pedersen, Marianne Giørtz, Goldstein, Jaqueline, Gordon, Scott D, Gordon-Smith, Katherine, de Diego-Otero, Yolanda, Green, Elaine K, Green, Melissa J, Greenwood, Tiffany A, Grove, Jakob, Guan, Weihua, Parra, José Guzman, Hamshere, Marian L, Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Moreno-Küstner, Berta, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stéphane, Johnson, Jessica S, Juréus, Anders, Kandaswamy, Radhika, Karlsson, Robert, Kennedy, James L, Auburger, Georg, Kittel-Schneider, Sarah, Knowles, James A, Kogevinas, Manolis, Koller, Anna C, Kupka, Ralph, Lavebratt, Catharina, Lawrence, Jacob, Lawson, William B, Leber, Markus, Lee, Phil H, Degenhardt, Franziska, Levy, Shawn E, Li, Jun Z, Liu, Chunyu, Lucae, Susanne, Maaser, Anna, MacIntyre, Donald J, Mahon, Pamela B, Maier, Wolfgang, Martinsson, Lina, McCarroll, Steve, Heilmann-Heimbach, Stefanie, McGuffin, Peter, McInnis, Melvin G, McKay, James D, Medeiros, Helena, Medland, Sarah E, Meng, Fan, Milani, Lili, Montgomery, Grant W, Morris, Derek W, Mühleisen, Thomas W, Mullins, Niamh, Nguyen, Hoang, Nievergelt, Caroline M, Adolfsson, Annelie Nordin, Nwulia, Evaristus A, O'Donovan, Claire, Loohuis, Loes M Olde, Ori, Anil P S, Oruc, Lilijana, Ösby, Urban, Perlis, Roy H, Perry, Amy, Pfennig, Andrea, Potash, James B, Purcell, Shaun M, Regeer, Eline J, Reif, Andreas, Reinbold, Céline S, Rice, John P, Richards, Alexander L, Frank, Josef, Rivas, Fabio, Rivera, Margarita, Roussos, Panos, Ruderfer, Douglas M, Ryu, Euijung, Sánchez-Mora, Cristina, Schatzberg, Alan F, Scheftner, William A, Schork, Nicholas J, Weickert, Cynthia Shannon, Foo, Jerome C, Shehktman, Tatyana, Shilling, Paul D, Sigurdsson, Engilbert, Slaney, Claire, Smeland, Olav B, Sobell, Janet L, Hansen, Christine Søholm, Spijker, Anne T, Clair, David St, Steffens, Michael, Streit, Fabian, Treutlein, Jens, Strauss, John S, Strohmaier, Jana, Szelinger, Szabolcs, Thompson, Robert C, EThorgeirsson, Thorgeir, Vedde, Helmut, Wang, Weiqing, Watson, Stanley J, Witt, Stephanie H, Weickert, Thomas W, Xi, Simon, Xu, Wei, Young, Allan H, Zandi, Peter, Zhang, Peng, Zollner, Sebastian, Adolfsson, Rolf, Agartz, Ingrid, Cichon, Sven, Alda, Martin, Backlund, Lena, Baune, Bernhard T, Bellivier, Frank, Berrettini, Wade H, Biernacka, Joanna M, Blackwood, Douglas H R, Boehnke, Michael, Børglum, Anders D, Corvin, Aiden, Craddock, Nicholas, Daly, Mark J, Dannlowski, Udo, Esko, Tõnu, Etain, Bruno, Frye, Mark, Fullerton, Janice M, Gershon, Elliot S, Gill, Michael, Goes, Fernando, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Hougaard, David M, Hultman, Christina M, Jones, Ian, Jones, Lisa A, Kahn, René S, Kirov, George, Landén, Mikael, Leboyer, Marion, Mayoral, Fermín, Lewis, Cathryn M, Li, Qingqin S, Lissowska, Jolanta, Martin, Nicholas G, Mayoral, Fermin, McElroy, Susan L, McIntosh, Andrew M, McMahon, Francis J, Melle, Ingrid, Metspalu, Andres, Müller-Myhsok, Bertram, Mitchell, Philip B, Morken, Gunnar, Mors, Ole, Mortensen, Preben Bo, Myers, Richard M, Neale, Benjamin M, Nimgaonkar, Vishwajit, Nordentoft, Merete, Nöthen, Markus M, Forstner, Andreas J, O'Donovan, Michael C, Oedegaard, Ketil J, Owen, Michael J, Paciga, Sara A, Pato, Carlos, Pato, Michele T, Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Ribasés, Marta, Rietschel, Marcella, Rouleau, Guy A, Schalling, Martin, Schofield, Peter R, Schulze, Thomas G, Serretti, Alessandro, Smoller, Jordan W, Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Sullivan, Patrick F, Turecki, Gustavo, Vaaler, Arne E, Vieta, Eduard, Vincent, John B, Werge, Thomas, Nurnberger, John I, Wray, Naomi R, Florio, Arianna Di, Edenberg, Howard J, Stahl, Eli A, Ophoff, Roel A, Scott, Laura J, Andreassen, Ole A, Kelsoe, John, Sklar, Pamela, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Breen, Gerome, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschøn, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R I, Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, McQuillin, Andrew, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Derks, Eske M, Direk, Nese, Dolan, Conor V, Dunn, Erin C, Eley, Thalia C, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Gaspar, Héléna A, Goes, Fernando S, Trubetskoy, Vassily, Hall, Lynsey S, Hansen, Thomas F, Hickie, Ian B, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Howard, David M, Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Kohane, Isaac S, Kraft, Julia, Wang, Yunpeng, Kretzschmar, Warren W, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacKinnon, Dean F, Maier, Robert M, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Mondimore, Francis M, Mostafavi, Sara, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Painter, Jodie N, González, Maria José, de Leeuw, Christiaan A, Pedersen, Carsten Bøcker, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Quiroz, Jorge A, Qvist, Per, Steinberg, Stacy, Riley, Brien P, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sinnamon, Grant C B, Pavlides, Jennifer M Whitehead, Smit, Johannes H, Smith, Daniel J, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Uitterlinden, André G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Pers, Tune H, Visscher, Peter M, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Wu, Yang, Xi, Hualin S, Yang, Jian, Holmans, Peter A, Zhang, Futao, Arolt, Volker, Berger, Klaus, Boomsma, Dorret I, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Abbott, Liam, Domschke, Katharina, Grabe, Hans J, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Madden, Pamela A F, Magnusson, Patrik K, Akil, Huda, Pedersen, Nancy L, Penninx, Brenda W J H, Porteous, David J, Preisig, Martin, Albani, Diego, Schaefer, Catherine, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Gil Flores, Susana, Alliey-Rodriguez, Ney, Levinson, Douglas F, Als, Thomas D, Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A, Barchas, Jack D, Bass, Nicholas, Bauer, Michael, Cabaleiro Fabeiro, Francisco J, Belliveau, Richard, Bergen, Sarah E, Bøen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Del Río Noriega, Francisco, Byerley, William, Casas, Miquel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Charney, Alexander W, Chen, Danfeng, Churchhouse, Claire, Coryell, William, Perez, Fermin Perez, Craig, David W, Cruceanu, Cristiana, Czerski, Piotr M, Dale, Anders M, de Jong, Simone, Del-Favero, Jurgen, Djurovic, Srdjan, Dobbyn, Amanda L, Haro González, Jesus, Dumont, Ashley, Elvsåshagen, Torbjørn, Fan, Chun Chieh, Fischer, Sascha B, Flickinger, Matthew, Foroud, Tatiana M, Forty, Liz, Fraser, Christine, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Complex Trait Genetics, Epidemiology and Data Science, APH - Digital Health, Andlauer T.F.M., Guzman-Parra J., Streit F., Strohmaier J., Gonzalez M.J., Gil Flores S., Cabaleiro Fabeiro F.J., del Rio Noriega F., Perez F.P., Haro Gonzalez J., Orozco Diaz G., de Diego-Otero Y., Moreno-Kustner B., Auburger G., Degenhardt F., Heilmann-Heimbach S., Herms S., Hoffmann P., Frank J., Foo J.C., Treutlein J., Witt S.H., Cichon S., Kogevinas M., Stahl E.A., Breen G., Forstner A.J., McQuillin A., Ripke S., Trubetskoy V., Mattheisen M., Wang Y., Coleman J.R.I., Gaspar H.A., de Leeuw C.A., Steinberg S., Pavlides J.M.W., Trzaskowski M., Pers T.H., Holmans P.A., Abbott L., Agerbo E., Akil H., Albani D., Alliey-Rodriguez N., Als T.D., Anjorin A., Antilla V., Awasthi S., Badner J.A., Baekvad-Hansen M., Barchas J.D., Bass N., Bauer M., Belliveau R., Bergen S.E., Pedersen C.B., Boen E., Boks M., Boocock J., Budde M., Bunney W., Burmeister M., Bybjerg-Grauholm J., Byerley W., Casas M., Cerrato F., Cervantes P., Chambert K., Charney A.W., Chen D., Churchhouse C., Clarke T.-K., Coryell W., Craig D.W., Cruceanu C., Czerski P.M., Dale A.M., de Jong S., Del-Favero J., DePaulo J.R., Djurovic S., Dobbyn A.L., Dumont A., Elvsashagen T., Escott-Price V., Fan C.C., Fischer S.B., Flickinger M., Foroud T.M., Forty L., Fraser C., Freimer N.B., Frisen L., Gade K., Gage D., Garnham J., Giambartolomei C., Pedersen M.G., Goldstein J., Gordon S.D., Gordon-Smith K., Green E.K., Green M.J., Greenwood T.A., Grove J., Guan W., Parra J.G., Hamshere M.L., Hautzinger M., Heilbronner U., Hipolito M., Holland D., Huckins L., Jamain S., Johnson J.S., Jureus A., Kandaswamy R., Karlsson R., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Koller A.C., Kupka R., Lavebratt C., Lawrence J., Lawson W.B., Leber M., Lee P.H., Levy S.E., Li J.Z., Liu C., Lucae S., Maaser A., MacIntyre D.J., Mahon P.B., Maier W., Martinsson L., McCarroll S., McGuffin P., McInnis M.G., McKay J.D., Medeiros H., Medland S.E., Meng F., Milani L., Montgomery G.W., Morris D.W., Muhleisen T.W., Mullins N., Nguyen H., Nievergelt C.M., Adolfsson A.N., Nwulia E.A., O'Donovan C., Loohuis L.M.O., Ori A.P.S., Oruc L., Osby U., Perlis R.H., Perry A., Pfennig A., Potash J.B., Purcell S.M., Regeer E.J., Reif A., Reinbold C.S., Rice J.P., Richards A.L., Rivas F., Rivera M., Roussos P., Ruderfer D.M., Ryu E., Sanchez-Mora C., Schatzberg A.F., Scheftner W.A., Schork N.J., Weickert C.S., Shehktman T., Shilling P.D., Sigurdsson E., Slaney C., Smeland O.B., Sobell J.L., Hansen C.S., Spijker A.T., Clair D.S., Steffens M., Strauss J.S., Szelinger S., Thompson R.C., EThorgeirsson T., Vedde H., Wang W., Watson S.J., Weickert T.W., Xi S., Xu W., Young A.H., Zandi P., Zhang P., Zollner S., Adolfsson R., Agartz I., Alda M., Backlund L., Baune B.T., Bellivier F., Berrettini W.H., Biernacka J.M., Blackwood D.H.R., Boehnke M., Borglum A.D., Corvin A., Craddock N., Daly M.J., Dannlowski U., Esko T., Etain B., Frye M., Fullerton J.M., Gershon E.S., Gill M., Goes F., Grigoroiu-Serbanescu M., Hauser J., Hougaard D.M., Hultman C.M., Jones I., Jones L.A., Kahn R.S., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Martin N.G., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Metspalu A., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Muller-Myhsok B., Myers R.M., Neale B.M., Nimgaonkar V., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Owen M.J., Paciga S.A., Pato C., Pato M.T., Posthuma D., Ramos-Quiroga J.A., Ribases M., Rietschel M., Rouleau G.A., Schalling M., Schofield P.R., Schulze T.G., Serretti A., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Werge T., Nurnberger J.I., Wray N.R., Florio A.D., Edenberg H.J., Ophoff R.A., Scott L.J., Andreassen O.A., Kelsoe J., Sklar P., Byrne E.M., Abdellaoui A., Adams M.J., Air T.M., Bacanu S.-A., Beekman A.T.F., Bigdeli T.B., Binder E.B., Bryois J., Buttenschon H.N., Cai N., Castelao E., Christensen J.H., Colodro-Conde L., Couvy-Duchesne B., Crawford G.E., Davies G., Deary I.J., Derks E.M., Direk N., Dolan C.V., Dunn E.C., Eley T.C., Kiadeh F.F.H., Finucane H.K., Goes F.S., Hall L.S., Hansen T.F., Hickie I.B., Homuth G., Horn C., Hottenga J.-J., Howard D.M., Ising M., Jansen R., Jorgenson E., Kohane I.S., Hill, Kraft J., Kretzschmar W.W., Kutalik Z., Li Y., Lind P.A., MacKinnon D.F., Maier R.M., Marchini J., Mbarek H., McGrath P., Mehta D., Middeldorp C.M., Mihailov E., Milaneschi Y., Mondimore F.M., Mostafavi S., Nauck M., Ng B., Nivard M.G., Nyholt D.R., O'Reilly P.F., Oskarsson H., Painter J.N., Peterson R.E., Pettersson E., Peyrot W.J., Pistis G., Quiroz J.A., Qvist P., Riley B.P., Mirza S.S., Schoevers R., Schulte E.C., Shen L., Shi J., Shyn S.I., Sinnamon G.C.B., Smit J.H., Smith D.J., Tansey K.E., Teismann H., Teumer A., Thompson W., Thomson P.A., Thorgeirsson T.E., Traylor M., Uitterlinden A.G., Umbricht D., Van der Auwera S., van Hemert A.M., Viktorin A., Visscher P.M., Webb B.T., Weinsheimer S.M., Wellmann J., Willemsen G., Wu Y., Xi H.S., Yang J., Zhang F., Arolt V., Berger K., Boomsma D.I., de Geus E.J.C., Domenici E., Domschke K., Grabe H.J., Hamilton S.P., Hayward C., Heath A.C., Kendler K.S., Kloiber S., Lewis G., Madden P.A.F., Magnusson P.K., Pedersen N.L., Penninx B.W.J.H., Porteous D.J., Preisig M., Schaefer C., Tiemeier H., Uher R., Volzke H., Weissman M.M., Levinson D.F., Child and Adolescent Psychiatry / Psychology, Epidemiology, Internal Medicine, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, University of Iceland, APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, and Adult Psychiatry
Subjects: Netherlands Twin Register (NTR), Genetic variants, Bipolar Disorder, Specific risk, Disease, 0302 clinical medicine, Multiplex, Genetic risk, GeneralLiterature_REFERENCE(e.g.,dictionaries,encyclopedias,glossaries), Depression (differential diagnoses), 0303 health sciences, Depression, ddc, 3. Good health, Geðraskanir, Psychiatry and Mental health, Schizophrenia, Cohort, Major depressive disorder, Case-Control Studie, Human, medicine.medical_specialty, Bipolar disorder, Article, Cellular and Molecular Neuroscience, 03 medical and health sciences, Geðklofi, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, ddc:610, Psychiatry, Þunglyndi, Molecular Biology, 030304 developmental biology, Depressive Disorder, Major, Geðhvarfasýki, business.industry, Psychiatric disorder, medicine.disease, Genarannsóknir, Case-Control Studies, Multiple comparisons problem, business, 030217 neurology & neurosurgery
Abstract: Publisher's version, Multiplex families with a high prevalence of a psychiatric disorder are often examined to identify rare genetic variants with large effect sizes. In the present study, we analysed whether the risk for bipolar disorder (BD) in BD multiplex families is influenced by common genetic variants. Furthermore, we investigated whether this risk is conferred mainly by BD-specific risk variants or by variants also associated with the susceptibility to schizophrenia or major depression. In total, 395 individuals from 33 Andalusian BD multiplex families (166 BD, 78 major depressive disorder, 151 unaffected) as well as 438 subjects from an independent, BD case/control cohort (161 unrelated BD, 277 unrelated controls) were analysed. Polygenic risk scores (PRS) for BD, schizophrenia (SCZ), and major depression were calculated and compared between the cohorts. Both the familial BD cases and unaffected family members had higher PRS for all three psychiatric disorders than the independent controls, with BD and SCZ being significant after correction for multiple testing, suggesting a high baseline risk for several psychiatric disorders in the families. Moreover, familial BD cases showed significantly higher BD PRS than unaffected family members and unrelated BD cases. A plausible hypothesis is that, in multiplex families with a general increase in risk for psychiatric disease, BD development is attributable to a high burden of common variants that confer a specific risk for BD. The present analyses demonstrated that common genetic risk variants for psychiatric disorders are likely to contribute to the high incidence of affective psychiatric disorders in the multiplex families. However, the PRS explained only part of the observed phenotypic variance, and rare variants might have also contributed to disease development., The study was supported by the German Federal Ministry of Education and Research (BMBF), through the Integrated Network IntegraMent, under the auspices of the e:Med programme (grants 01ZX1314A to MMN and SC; 01ZX1314G to MR; 01ZX1614J to BMM) through grants 01EE1406C to MR and 01EE1409C to MR and SHW, and through ERA-NET NEURON, “SynSchiz—Linking synaptic dysfunction to disease mechanisms in schizophrenia—a multilevel investigation” (01EW1810 to MR) and BMBF grants 01EE1409C and 01EE1406C to MR and SHW; by the German Research Foundation (DFG grants FOR2107; RI908/11-2 to MR; NO246/10-2 to MMN; MU1315/8-2 to BMM; WI 3439/3-2 to SHW), by the Andalusian regional Health and Innovation Government (grants PI-0060-2017, RC-0006-2015 the Nicolas Monarde Programme for YDO and CTS-546) and by the Swiss National Science Foundation (SNSF grant 156791 to SC). MMN is a member of the DFG-funded cluster of excellence ImmunoSensation. The PGC has received major funding from the US National Institute of Mental Health and the US National Institute of Drug Abuse (U01 MH109528 and U01 MH1095320). We thank the research participants and employees of 23andMe, Inc. for their contribution to the MDD meta-analysis published in [14]. We thank the International Genomics of Alzheimer's Project (IGAP) for providing summary results data for the present analyses. See the Supplementary Data for extended Acknowledgements.
Published: 2021
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24. Author Correction: Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Author: Howard, David M., Adams, Mark J., Shirali, Masoud, Clarke, Toni Kim, Marioni, Riccardo E., Davies, Gail, Coleman, Jonathan R.I., Alloza, Clara, Shen, Xueyi, Barbu, Miruna C., Wigmore, Eleanor M., Gibson, Jude, Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Hinds, David A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., McCreight, Jennifer C., McIntyre, Matthew H., Mountain, Joanna L., Noblin, Elizabeth S., Northover, Carrie A.M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Hagenaars, Saskia P., Lewis, Cathryn M., Ward, Joey, Smith, Daniel J., Sullivan, Patrick F., Haley, Chris S., Breen, Gerome, Deary, Ian J., and McIntosh, Andrew M.
Subjects: Science, MEDLINE, General Physics and Astronomy, Genome-wide association study, Nerve Tissue Proteins, Computational biology, Biology, Mechanotransduction, Cellular, Synaptic Transmission, General Biochemistry, Genetics and Molecular Biology, Linkage Disequilibrium, Cohort Studies, International Classification of Diseases, Humans, Genetic Predisposition to Disease, Author Correction, Depression (differential diagnoses), Biological Specimen Banks, Depressive Disorder, Major, Multidisciplinary, Depression, General Chemistry, Biobank, Phenotype, United Kingdom, Gene Expression Regulation, Genetic Loci, Synapses, Excitatory postsynaptic potential, Biomarkers, Genome-Wide Association Study
Abstract: Depression is a polygenic trait that causes extensive periods of disability. Previous genetic studies have identified common risk variants which have progressively increased in number with increasing sample sizes of the respective studies. Here, we conduct a genome-wide association study in 322,580 UK Biobank participants for three depression-related phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. We identify 17 independent loci that are significantly associated (P 5 × 10
Published: 2021
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25. DNA methylation signatures of aggression and closely related constructs: A meta-analysis of epigenome-wide studies across the lifespan

Author: van Dongen, Jenny, Hagenbeek, Fiona A., Suderman, Matthew, Roetman, Peter J., Sugden, Karen, Chiocchetti, Andreas G., Ismail, Khadeeja, Mulder, Rosa H., Hafferty, Jonathan D., Adams, Mark J., Walker, Rosie M., Morris, Stewart W., Lahti, Jari, Küpers, Leanne K., Escaramis, Georgia, Alemany, Silvia, Jan Bonder, Marc, Meijer, Mandy, Ip, Hill F., Jansen, Rick, Baselmans, Bart M. L., Parmar, Priyanka, Lowry, Estelle, Streit, Fabian, Sirignano, Lea, Send, Tabea S., Frank, Josef, Jylhävä, Juulia, Wang, Yunzhang, Mishra, Pashupati Prasad, Colins, Olivier F., Corcoran, David L., Poulton, Richie, Mill, Jonathan, Hannon, Eilis, Arseneault, Louise, Korhonen, Tellervo, Vuoksimaa, Eero, Felix, Janine F., Bakermans-Kranenburg, Marian J., Campbell, Archie, Czamara, Darina, Binder, Elisabeth, Corpeleijn, Eva, Gonzalez, Juan R., Grazuleviciene, Regina, Gutzkow, Kristine B., Evandt, Jorunn, Vafeiadi, Marina, Klein, Marieke, van der Meer, Dennis, Ligthart, Lannie, Heijmans, Bastiaan T., ’t Hoen, Peter A. C., van Meurs, Joyce, Franke, Lude, Boomsma, Dorret I., Pool, René, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., van ’t Hof, Peter, Deelen, Patrick, Nooren, Irene, Moed, Matthijs, Vermaat, Martijn, Luijk, René, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik. W., ’t Hoen, Peter-Bram, Kluft, Cornelis, Davies, Gareth E., Hakulinen, Christian, Keltikangas-Järvinen, Liisa, Franke, Barbara, Freitag, Christine M., Konrad, Kerstin, Hervas, Amaia, Fernández-Rivas, Aranzazu, Vetro, Agnes, Raitakari, Olli, Lehtimäki, Terho, Vermeiren, Robert, Strandberg, Timo, Räikkönen, Katri, Snieder, Harold, Witt, Stephanie H., Deuschle, Michael, Pedersen, Nancy L., Hägg, Sara, Sunyer, Jordi, Kaprio, Jaakko, Ollikainen, Miina, Moffitt, Terrie E., Tiemeier, Henning, van IJzendoorn, Marinus H., Relton, Caroline, Vrijheid, Martine, Sebert, Sylvain, Jarvelin, Marjo-Riitta, Caspi, Avshalom, Evans, Kathryn L., McIntosh, Andrew M., Bartels, Meike, Child and Adolescent Psychiatry / Psychology, Pediatrics, Internal Medicine, Urology, Epidemiology, Orthopedics and Sports Medicine, Clinical Child and Family Studies, van der Kallen, Carla J. H., Schalkwijk, Casper G., Wijmenga, Cisca, Franke, Lude, Zhernakova, Sasha, Tigchelaar, Ettje F., Slagboom, P. Eline, Beekman, Marian, Deelen, Joris, van Heemst, Diana, Veldink, Jan H., van den Berg, Leonard H., van Duijn, Cornelia M., Hofman, Bert A., Isaacs, Aaron, Uitterlinden, André G., van Meurs, Joyce, Jhamai, P. Mila, Verbiest, Michael, Suchiman, H. Eka D., Verkerk, Marijn, van der Breggen, Ruud, van Rooij, Jeroen, Lakenberg, Nico, Mei, Hailiang, van Iterson, Maarten, van Galen, Michiel, Bot, Jan, Zhernakova, Dasha V., Jansen, Rick, van 't Hof, Peter, Deelen, Patrick, Nooren, Irene, 't Hoen, Peter A. C., Heijmans, Bastiaan T., Moed, Matthijs, Vermaat, Martijn, Luijk, René, Jan Bonder, Marc, van Dijk, Freerk, Arindrarto, Wibowo, Kielbasa, Szymon M., Swertz, Morris A., van Zwet, Erik W., 't Hoen, Peter-Bram, Boomsma, Dorret I., Pool, René, van Dongen, Jenny, Hottenga, Jouke J., van Greevenbroek, Marleen M. J., Stehouwer, Coen D. A., Institute for Molecular Medicine Finland, University of Helsinki, Doctoral Programme in Cognition, Learning, Instruction and Communication, Department of Psychology and Logopedics, Faculty of Medicine, Tellervo Korhonen / Principal Investigator, Genetic Epidemiology, Faculty Common Matters (Faculty of Medicine), Cognitive and Brain Aging, Helsinki Inequality Initiative (INEQ), Psychosocial factors and health, Faculty Common Matters (Faculty of Education), Medicum, HUS Internal Medicine and Rehabilitation, Timo Strandberg / Principal Investigator, Department of Medicine, Clinicum, Geriatrian yksikkö, Reproductive Origins of Adult Health and Disease (ROAHD), Life Course Epidemiology (LCE), Stem Cell Aging Leukemia and Lymphoma (SALL), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Pediatric surgery, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), APH - Personalized Medicine, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Methodology, Tampere University, Health Sciences, Department of Clinical Chemistry, Clinical Medicine, RS: MHeNs - R2 - Mental Health, and Psychiatrie & Neuropsychologie
Subjects: 0301 basic medicine, Molecular biology, ADN, Physiology, CHILDREN, 3124 Neurology and psychiatry, Epigenesis, Genetic, Epigenome, 0302 clinical medicine, Child, RISK, ASSOCIATION, Middle Aged, Justice and Strong Institutions, Aggression, Psychiatry and Mental health, Schizophrenia, TWINS, Meta-analysis, Cord blood, Child, Preschool, DNA methylation, HEALTH, medicine.symptom, SMOKING, Adult, SDG 16 - Peace, Adolescent, 515 Psychology, Longevity, Biology, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Young Adult, SDG 3 - Good Health and Well-being, Genetic variation, medicine, Genetics, Humans, ddc:610, EXPOSURE, ABUSE, Genetic association, Aged, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], SDG 16 - Peace, Justice and Strong Institutions, 3112 Neurosciences, GENOME-WIDE, DNA Methylation, Epigenètica, medicine.disease, 3141 Health care science, 030104 developmental biology, COHORT PROFILE, 1182 Biochemistry, cell and molecular biology, CpG Islands, 3111 Biomedicine, Metaanàlisi, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Molecular psychiatry 26(6), 2148-2162 (2021). doi:10.1038/s41380-020-00987-x, Published by Macmillan, London
Published: 2021
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26. Classical Human Leukocyte Antigen Alleles and C4 Haplotypes Are Not Significantly Associated With Depression

Author: Glanville, Kylie P, Coleman, Jonathan R I, Binder, Elisabeth B, Hall, Lynsey S, Hansen, Christine Søholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Blackwood, Douglas H R, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Boomsma, Dorret I, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, Buttenschøn, Henriette N, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Colodro-Conde, Lucía, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, O'Reilly, Paul F, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bøcker, Dannlowski, Udo, Pedersen, Marianne Giørtz, Peterson, Roseann E, Pettersson, Erik, Peyrot, Wouter J, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Direk, Nese, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant C B, Smit, Johannes H, Dunn, Erin C, Smith, Daniel J, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Forstner, Andreas J, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andrés G, Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, de Geus, Eco J C, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Hanscombe, Ken B, Grabe, Hans J, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Cichon, Sven, de Geus, E. J. C., DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Hamilton, Steven P, Esko, Tõnu, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela Af, Magnusson, Patrik K, Martin, Nicholas G, McIntosh, Andrew M, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda W J H, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M, Werge, Thomas, Lewis, Cathryn M, Levinson, Douglas F, Breen, Gerome, Børglum, Anders D, Sullivan, Patrick F, Euesden, Jack, Choi, Shing Wan, Ripke, Stephan, Purves, Kirstin L, Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Wray, Naomi R, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till F M, Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T F, Bigdeli, Tim B, Bryois, Julien, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Dolan, Conor V, Eley, Thalia C, Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K, Foo, Jerome C, Frank, Josef, Gaspar, Héléna A, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Adult Psychiatry, APH - Mental Health, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Hassan Kiadeh, F.F., Finucane, H.K., Foo, J.C., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, E., DePaulo, J.R., Domenici, E., Domschke, K., Esko, T., Grabe, H.J., Hamilton, S.P., Hayward, C., Heath, A.C., Kendler, K.S., Kloiber, S., Lewis, G., Li, Q.S., Lucae, S., Madden, P.A., Magnusson, P.K., Martin, N.G., McIntosh, A.M., Metspalu, A., Mors, O., Mortensen, P.B., Müller-Myhsok, B., Nordentoft, M., Nöthen, M.M., O'Donovan, M.C., Paciga, S.A., Pedersen, N.L., Penninx, BWJH, Perlis, R.H., Porteous, D.J., Potash, J.B., Preisig, M., Rietschel, M., Schaefer, C., Schulze, T.G., Smoller, J.W., Stefansson, K., Tiemeier, H., Uher, R., Völzke, H., Weissman, M.M., Werge, T., Lewis, C.M., Levinson, D.F., Breen, G., Børglum, A.D., Sullivan, P.F., Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Biological Psychology, APH - Methodology, Functional Genomics, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Complex Trait Genetics, Epidemiology, Child and Adolescent Psychiatry / Psychology, Psychiatry, Internal Medicine, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), and Perceptual and Cognitive Neuroscience (PCN)
Subjects: 0301 basic medicine, Netherlands Twin Register (NTR), Major histocompatibility complex, LOCI, Complement, Autoimmune disorder, Genome-wide association study, Human leukocyte antigen, Genetic association, Major depressive disorder, Article, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, HLA Antigens, Genetic predisposition, IMPUTATION, Humans, ANXIETY, Genetic Predisposition to Disease, ddc:610, GENOME-WIDE ASSOCIATION, AUTOIMMUNE-DISEASE, Biological Psychiatry, Alleles, Complement component 4, Depressive Disorder, Major, Major histoconnpatibility complex, COMPLEX, biology, Depression, Haplotype, Odds ratio, ddc, 3. Good health, 030104 developmental biology, Haplotypes, Immunology, biology.protein, RISK-FACTORS, INFERENCE, HEALTH, 030217 neurology & neurosurgery
Abstract: Background\ud \ud The prevalence of depression is higher in individuals with autoimmune diseases, but the mechanisms underlying the observed comorbidities are unknown. Shared genetic etiology is a plausible explanation for the overlap, and in this study we tested whether genetic variation in the major histocompatibility complex (MHC), which is associated with risk for autoimmune diseases, is also associated with risk for depression.\ud \ud \ud Methods\ud \ud We fine-mapped the classical MHC (chr6: 29.6–33.1 Mb), imputing 216 human leukocyte antigen (HLA) alleles and 4 complement component 4 (C4) haplotypes in studies from the Psychiatric Genomics Consortium Major Depressive Disorder Working Group and the UK Biobank. The total sample size was 45,149 depression cases and 86,698 controls. We tested for association between depression status and imputed MHC variants, applying both a region-wide significance threshold (3.9 × 10−6) and a candidate threshold (1.6 × 10−4).\ud \ud \ud Results\ud \ud No HLA alleles or C4 haplotypes were associated with depression at the region-wide threshold. HLA-B*08:01 was associated with modest protection for depression at the candidate threshold for testing in HLA genes in the meta-analysis (odds ratio = 0.98, 95% confidence interval = 0.97–0.99).\ud \ud \ud Conclusions\ud \ud We found no evidence that an increased risk for depression was conferred by HLA alleles, which play a major role in the genetic susceptibility to autoimmune diseases, or C4 haplotypes, which are strongly associated with schizophrenia. These results suggest that any HLA or C4 variants associated with depression either are rare or have very modest effect sizes.
Published: 2020
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27. Genome-wide gene-environment analyses of major depressive disorder and reported lifetime traumatic experiences in UK Biobank

Author: Coleman, Jonathan RI, Peyrot, Wouter J, Purves, Kirstin L, Davis, Katrina AS, Rayner, Christopher, Choi, Shing Wan, Hubel, Christopher, Gaspar, Helena A, Kan, Carol, Van der Auwera, Sandra, Adams, Mark James, Lyall, Donald M, Choi, Karmel W, Dunn, Erin C, Vassos, Evangelos, Danese, Andrea, Maughan, Barbara, Grabe, Hans J, Lewis, Cathryn M, O'Reilly, Paul F, McIntosh, Andrew M, Smith, Daniel J, Wray, Naomi R, Hotopf, Matthew, Eley, Thalia C, Breen, Gerome, Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M, Abdellaoui, Abdel, Adams, Mark J, Agerbo, Esben, Air, Tracy M, Andlauer, Till FM, Bacanu, Silviu-Alin, Baekvad-Hansen, Marie, Beekman, Aartjan TF, Bigdeli, Tim B, Binder, Elisabeth B, Bryois, Julien, Buttenschon, Henriette N, Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Colodro-Conde, Lucia, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E, Davies, Gail, Deary, Ian J, Degenhardt, Franziska, Derks, Eske M, Direk, Nese, Dolan, Conor V, Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K, Foo, Jerome C, Forstner, Andreas J, Frank, Josef, Gill, Michael, Goes, Fernando S, Gordon, Scott D, Grove, Jakob, Hall, Lynsey S, Hansen, Christine Soholm, Hansen, Thomas F, Herms, Stefan, Hickie, Ian B, Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M, Howard, David M, Ising, Marcus, Jansen, Rick, Jones, Ian, Jones, Lisa A, Jorgenson, Eric, Knowles, James A, Kohane, Isaac S, Kraft, Julia, Kretzschmar, Warren W, Kutalik, Zoltan, Li, Yihan, Lind, Penelope A, MacIntyre, Donald J, MacKinnon, Dean F, Maier, Robert M, Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E, Mehta, Divya, Middeldorp, Christel M, Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M, Montgomery, Grant W, Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G, Nyholt, Dale R, Oskarsson, Hogni, Owen, Michael J, Painter, Jodie N, Pedersen, Carsten Bocker, Pedersen, Marianne Giortz, Peterson, Roseann E, Pettersson, Erik, Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A, Qvist, Per, Rice, John P, Riley, Brien P, Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C, Shen, Ling, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Sinnamon, Grant CB, Smit, Johannes H, Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E, Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A, Thorgeirsson, Thorgeir E, Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, Andres G, Umbricht, Daniel, van Hemert, Albert M, Viktorin, Alexander, Visscher, Peter M, Wang, Yunpeng, Webb, Bradley T, Weinsheimer, Shantel Marie, Wellmann, Jurgen, Willemsen, Gonneke, Witt, Stephanie H, Wu, Yang, Xi, Hualin S, Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T, Berger, Klaus, Boomsma, Dorret I, Cichon, Sven, Dannlowski, Udo, de Geus, EJC, DePaulo, J Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tonu, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Kendler, Kenneth S, Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S, Lucae, Susanne, Madden, Pamela AF, Magnusson, Patrik K, Martin, Nicholas G, Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Mueller-Myhsok, Bertram, Nordentoft, Merete, Noethen, Markus M, O'Donovan, Michael C, Paciga, Sara A, Pedersen, Nancy L, Penninx, Brenda WJH, Perlis, Roy H, Porteous, David J, Potash, James B, Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G, Smoller, Jordan W, Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Volzke, Henry, Weissman, Myrna M, Werge, Thomas, Levinson, Douglas F, Borglum, Anders D, Sullivan, Patrick F, Consortium, Psychiat Genomics, Psychiatry, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Amsterdam Reproduction & Development (AR&D), Human genetics, APH - Methodology, APH - Digital Health, Adult Psychiatry, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Sociology and Social Gerontology, Complex Trait Genetics, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Clinical Cognitive Neuropsychiatry Research Program (CCNP), on the behalf of Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., Binder, E.B., Bryois, J., Buttenschøn, H.N., Bybjerg-Grauholm, J., Cai, N., Castelao, E., Christensen, J.H., Clarke, T.K., Coleman, JRI, Colodro-Conde, L., Couvy-Duchesne, B., Craddock, N., Crawford, G.E., Davies, G., Deary, I.J., Degenhardt, F., Derks, E.M., Direk, N., Dolan, C.V., Dunn, E.C., Eley, T.C., Escott-Price, V., Kiadeh, FFH, Finucane, H.K., Foo, J.C., Forstner, A.J., Frank, J., Gaspar, H.A., Gill, M., Goes, F.S., Gordon, S.D., Grove, J., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Howard, D.M., Ising, M., Jansen, R., Jones, I., Jones, L.A., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, 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., Breen, G., Børglum, A.D., and Sullivan, P.F.
Subjects: Netherlands Twin Register (NTR), 0301 basic medicine, Male, SYMPTOMS, Databases, Factual, Genome-wide association study, 0302 clinical medicine, Medicine, Depression (differential diagnoses), RISK, HERITABILITY, PSYCHIATRIC-DISORDERS, Middle Aged, Psychiatry and Mental health, Major depressive disorder, Female, Waist Circumference, MENTAL-HEALTH, Psychological trauma, Clinical psychology, Adult, Psychological Trauma, Genetic correlation, CHILDHOOD MALTREATMENT, Article, EVENTS, 03 medical and health sciences, Cellular and Molecular Neuroscience, SDG 3 - Good Health and Well-being, ADVERSITY, mental disorders, SNP, Humans, Genetic Predisposition to Disease, Molecular Biology, Genetic association, Aged, Depressive Disorder, Major, business.industry, Heritability, medicine.disease, United Kingdom, ASSOCIATION ANALYSIS, 030104 developmental biology, BIOLOGICAL INSIGHTS, Gene-Environment Interaction, Self Report, business, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Depression is more frequent among individuals exposed to traumatic events. Both trauma exposure and depression are heritable. However, the relationship between these traits, including the role of genetic risk factors, is complex and poorly understood. When modelling trauma exposure as an environmental influence on depression, both gene-environment correlations and gene-environment interactions have been observed. The UK Biobank concurrently assessed Major Depressive Disorder (MDD) and self-reported lifetime exposure to traumatic events in 126,522 genotyped individuals of European ancestry. We contrasted genetic influences on MDD stratified by reported trauma exposure (final sample size range: 24,094-92,957). The SNP-based heritability of MDD with reported trauma exposure (24%) was greater than MDD without reported trauma exposure (12%). Simulations showed that this is not confounded by the strong, positive genetic correlation observed between MDD and reported trauma exposure. We also observed that the genetic correlation between MDD and waist circumference was only significant in individuals reporting trauma exposure (r g = 0.24, p = 1.8 × 10 -7 versus r g = -0.05, p = 0.39 in individuals not reporting trauma exposure, difference p = 2.3 × 10 -4 ). Our results suggest that the genetic contribution to MDD is greater when reported trauma is present, and that a complex relationship exists between reported trauma exposure, body composition, and MDD.
Published: 2020
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28. Complement genes contribute sex-biased vulnerability in diverse disorders

Author: Kamitaki, Nolan, Sekar, Aswin, Consortium, Schizophrenia Working Group of the Psychiatric Genomics, Friedman, Joseph I, Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Gershon, Elliot S, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Boehnke, Michael, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Mitjans, Marina, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M, Henskens, Frans A, Kimberly, Robert P, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Hougaard, David M, Ikeda, Masashi, Joa, Inge, Julià, Antonio, Kahn, René S, Kaufman, Kenneth M, Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C, Kelly, Brian J, Kennedy, James L, Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Harley, John B, Knowles, James A, Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K, Laurent, Claudine, Keong, Jimmy Lee Chee, Lee, S Hong, Legge, Sophie E, Langefeld, Carl D, Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M, Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Seidman, Christine E, Magnusson, Patrik K E, Maher, Brion S, Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W, McDonald, Colm, McIntosh, Andrew M, Pato, Michele T, Meier, Sandra, Meijer, Carin J, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I, Metspalu, Andres, Michie, Patricia T, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Pato, Carlos N, Morris, Derek W, Mors, Ole, Murphy, Kieran C, Murray, Robin M, Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A, Nestadt, Gerald, Ophoff, Roel A, Nicodemus, Kristin K, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Handsaker, Robert E, Graham, Robert R, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N, Steixner, Agnes A, Parkhomenko, Elena, Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O, Pietiläinen, Olli, Criswell, Lindsey A, Pimm, Jonathan, Pocklington, Andrew J, Powell, John, Price, Alkes, Pulver, Ann E, Purcell, Shaun M, Quested, Digby, Rasmussen, Henrik B, Reichenberg, Abraham, Reimers, Mark A, Vyse, Timothy J, Richards, Alexander L, Roffman, Joshua L, Roussos, Panos, Ruderfer, Douglas M, Salomaa, Veikko, Sanders, Alan R, Schall, Ulrich, Schubert, Christian R, Schulze, Thomas G, Schwab, Sibylle G, McCarroll, Steven A, Scolnick, Edward M, Scott, Rodney J, Seidman, Larry J, Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M, Sim, Kang, Slominsky, Petr, Smoller, Jordan W, Ripke, Stephan, So, Hon-Cheong, Spencer, Chris C A, Stahl, Eli A, Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E, Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Neale, Benjamin M, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M, Szatkiewicz, Jin P, Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tooney, Paul A, Tosato, Sarah, Veijola, Juha, Corvin, Aiden, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T, Weiser, Mark, Wildenauer, Dieter B, Williams, Nigel M, Williams, Stephanie, Witt, Stephanie H, Walters, James T R, Wolen, Aaron R, Wong, Emily H M, Wormley, Brandon K, Wu, Jing Qin, Xi, Hualin Simon, Zai, Clement C, Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R, Stefansson, Kari, Farh, Kai-How, Visscher, Peter M, Adolfsson, Rolf, Andreassen, Ole A, Blackwood, Douglas H R, Bramon, Elvira, Buxbaum, Joseph D, Børglum, Anders D, Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Holmans, Peter A, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V, Gill, Michael, Gurling, Hugh, Hultman, Christina M, Iwata, Nakao, Jablensky, Assen V, Jönsson, Erik G, Kendler, Kenneth S, de Rivera, Heather, Lee, Phil, Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F, Li, Qingqin S, Liu, Jianjun, Malhotra, Anil K, McQuillin, Andrew, Moran, Jennifer L, Bulik-Sullivan, Brendan, Mortensen, Preben B, Mowry, Bryan J, Nöthen, Markus M, Owen, Michael J, Palotie, Aarno, Petryshen, Tracey L, Posthuma, Danielle, Rietschel, Marcella, Collier, David A, Riley, Brien P, Rujescu, Dan, Sham, Pak C, Sklar, Pamela, Clair, David St, Weinberger, Daniel R, Wendland, Jens R, Werge, Thomas, Daly, Mark J, Sullivan, Patrick F, Huang, Hailiang, O'Donovan, Michael C, Pers, Tune H, Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Tooley, Katherine, Bacanu, Silviu A, Begemann, Martin, Belliveau, Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Morris, David L, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Cairns, Murray J, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Taylor, Kimberly E, Chambert, Kimberly D, Chan, Raymond C K, Chen, Ronald Y L, Chen, Eric Y H, Cheng, Wei, Cheung, Eric F C, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Whelan, Christopher W, Cormican, Paul, Craddock, Nick, Crespo-Facorro, Benedicto, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, DeLisi, Lynn E, Tombleson, Philip, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Loohuis, Loes M Olde, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Adult Psychiatry, ANS - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Kamitaki, Nolan, Sekar, Aswin, Handsaker, Robert E, de Rivera, Heather, Lee, S Hong, McCarroll, Steven A, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Clinicum, Johan Eriksson / Principal Investigator, Department of General Practice and Primary Health Care, Helsinki University Hospital Area, Centre of Excellence in Complex Disease Genetics, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, HUS Psychiatry, Department of Psychiatry, Center for Population, Health and Society, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Neuroscience - Cellular & Molecular Mechanisms, Human genetics, and Amsterdam Reproduction & Development (AR&D)
Subjects: 0301 basic medicine, Male, SLE, Sjogren's Syndrome/blood, complement cascade, Major Histocompatibility Complex/genetics, Major Histocompatibility Complex, 0302 clinical medicine, MOLECULAR-BASIS, HLA Antigens, Genotype, 2.1 Biological and endogenous factors, Lupus Erythematosus, Systemic, Medicine, Aetiology, SYSTEMIC-LUPUS-ERYTHEMATOSUS, Complement C3/analysis, SUSCEPTIBILITY VARIANTS, RISK, SJOGRENS-SYNDROME, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Complement component 4, Sex Characteristics, Multidisciplinary, Complement C4, Complement C3, HLA Antigens/genetics, Middle Aged, 3. Good health, Complement cascade, Mental Health, Sjogren's Syndrome, genetic association study, Female, ddc:500, Systemic/blood, Biotechnology, Sex characteristics, Adult, General Science & Technology, Lupus, Human leukocyte antigen, Autoimmune Disease, Lupus Erythematosus, Systemic/blood, 03 medical and health sciences, Young Adult, Systemic lupus erythematosus, C4 DEFICIENCY, SDG 3 - Good Health and Well-being, Genetics, Humans, Genetic Predisposition to Disease, Allele, Alleles, Genetic association study, Differential disease vulnerability, Lupus erythematosus, Lupus Erythematosus, business.industry, Inflammatory and immune system, Systemic, Haplotype, C4A, medicine.disease, Brain Disorders, COPY-NUMBER, 030104 developmental biology, Haplotypes, Sjögren’s syndrome, Immunology, Schizophrenia, Complement C4/analysis, AUTOANTIBODIES, 3111 Biomedicine, MHC, business, DEFICIENCY STATES, 030217 neurology & neurosurgery
Abstract: Many common illnesses, for reasons that have not been identified, differentially affect men and women. For instance, the autoimmune diseases systemic lupus erythematosus (SLE) and Sjögren’s syndrome affect nine times more women than men1, whereas schizophrenia affects men with greater frequency and severity relative to women2. All three illnesses have their strongest common genetic associations in the major histocompatibility complex (MHC) locus, an association that in SLE and Sjögren’s syndrome has long been thought to arise from alleles of the human leukocyte antigen (HLA) genes at that locus3–6. Here we show that variation of the complement component 4 (C4) genes C4A and C4B, which are also at the MHC locus and have been linked to increased risk for schizophrenia7, generates 7-fold variation in risk for SLE and 16-fold variation in risk for Sjögren’s syndrome among individuals with common C4 genotypes, with C4A protecting more strongly than C4B in both illnesses. The same alleles that increase risk for schizophrenia greatly reduce risk for SLE and Sjögren’s syndrome. In all three illnesses, C4 alleles act more strongly in men than in women: common combinations of C4A and C4B generated 14-fold variation in risk for SLE, 31-fold variation in risk for Sjögren’s syndrome, and 1.7-fold variation in schizophrenia risk among men (versus 6-fold, 15-fold and 1.26-fold variation in risk among women, respectively). At a protein level, both C4 and its effector C3 were present at higher levels in cerebrospinal fluid and plasma8,9 in men than in women among adults aged between 20 and 50 years, corresponding to the ages of differential disease vulnerability. Sex differences in complement protein levels may help to explain the more potent effects of C4 alleles in men, women’s greater risk of SLE and Sjögren’s syndrome and men’s greater vulnerability to schizophrenia. These results implicate the complement system as a source of sexual dimorphism in vulnerability to diverse illnesses.
Published: 2020
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29. Self-reported medication use validated through record linkage to national prescribing data

Author: Hafferty, Jonathan D., Campbell, Archie I., Navrady, Lauren B., Adams, Mark J., MacIntyre, Donald, Lawrie, Stephen M., Nicodemus, Kristin, Porteous, David J., and McIntosh, Andrew M.
Subjects: Adult, Male, Prescription Drugs, Databases, Factual, Drug Prescriptions, Article, Agreement, Medicines, Cohort Studies, Young Adult, Age Distribution, Humans, Aged, Aged, 80 and over, Linkage, Pharmacoepidemiology, Mental Disorders, Reproducibility of Results, Middle Aged, Antidepressive Agents, Indication, Logistic Models, Treatment Outcome, Scotland, Female, Self Report, Self-report
Abstract: Objectives Researchers need to be confident about the reliability of epidemiologic studies that quantify medication use through self-report. Some evidence suggests that psychiatric medications are systemically under-reported. Modern record linkage enables validation of self-report with national prescribing data as gold standard. Here, we investigated the validity of medication self-report for multiple medication types. Study Design and Setting Participants in the Generation Scotland population-based cohort (N = 10,244) recruited 2009–2011 self-reported regular usage of several commonly prescribed medication classes. This was matched against Scottish NHS prescriptions data using 3- and 6-month fixed time windows. Potential predictors of discordant self-report, including general intelligence and psychological distress, were studied via multivariable logistic regression. Results Antidepressants self-report showed very good agreement (κ = 0.85, [95% confidence interval (CI) 0.84–0.87]), comparable to antihypertensives (κ = 0.90 [CI 0.89–0.91]). Self-report of mood stabilizers showed moderate-poor agreement (κ = 0.42 [CI 0.33–0.50]). Relevant past medical history was the strongest predictor of self-report sensitivity, whereas general intelligence was not predictive. Conclusion In this large population-based study, we found self-report validity varied among medication classes, with no simple relationship between psychiatric medication and under-reporting. History of indicated illness predicted more accurate self-report, for both psychiatric and nonpsychiatric medications. Although other patient-level factors influenced self-report for some medications, none predicted greater accuracy across all medications studied.
Published: 2018

30. A Combined Pathway and Regional Heritability Analysis Indicates NETRIN1 Pathway Is Associated With Major Depressive Disorder

Author: Zeng, Yanni, Navarro, Pau, Fernandez-Pujals, Ana M., Hall, Lynsey S., Clarke, Toni-Kim, Thomson, Pippa A., Smith, Blair H., Hocking, Lynne J., Padmanabhan, Sandosh, Hayward, Caroline, MacIntyre, Donald J., Wray, Naomi R., Deary, Ian J., Porteous, David J., Haley, Chris S., and McIntosh, Andrew M.
Subjects: MDD, Adult, Male, Depressive Disorder, Major, Multifactorial Inheritance, Pathway analysis, Tumor Suppressor Proteins, Middle Aged, Netrin-1, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Archival Report, NETRIN1, Regional heritability, Polygenic risk score, Risk Factors, mental disorders, Humans, Female, Genetic Predisposition to Disease, Nerve Growth Factors, Biological Psychiatry, DCC, Genome-Wide Association Study, Signal Transduction
Abstract: Background: \ud \ud Genome-wide association studies (GWASs) of major depressive disorder (MDD) have identified few significant associations. Testing the aggregation of genetic variants, in particular biological pathways, may be more powerful. Regional heritability analysis can be used to detect genomic regions that contribute to disease risk.\ud \ud Methods: \ud \ud We integrated pathway analysis and multilevel regional heritability analyses in a pipeline designed to identify MDD-associated pathways. The pipeline was applied to two independent GWAS samples [Generation Scotland: The Scottish Family Health Study (GS:SFHS, N = 6455) and Psychiatric Genomics Consortium (PGC:MDD) (N = 18,759)]. A polygenic risk score (PRS) composed of single nucleotide polymorphisms from the pathway most consistently associated with MDD was created, and its accuracy to predict MDD, using area under the curve, logistic regression, and linear mixed model analyses, was tested.\ud \ud Results: \ud \ud In GS:SFHS, four pathways were significantly associated with MDD, and two of these explained a significant amount of pathway-level regional heritability. In PGC:MDD, one pathway was significantly associated with MDD. Pathway-level regional heritability was significant in this pathway in one subset of PGC:MDD. For both samples the regional heritabilities were further localized to the gene and subregion levels. The NETRIN1 signaling pathway showed the most consistent association with MDD across the two samples. PRSs from this pathway showed competitive predictive accuracy compared with the whole-genome PRSs when using area under the curve statistics, logistic regression, and linear mixed model.\ud \ud Conclusions: \ud \ud These post-GWAS analyses highlight the value of combining multiple methods on multiple GWAS data for the identification of risk pathways for MDD. The NETRIN1 signaling pathway is identified as a candidate pathway for MDD and should be explored in further large population studies.
Published: 2017
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31. An epigenetic score for BMI based on DNA methylation correlates with poor physical health and major disease in the Lothian Birth Cohort

Author: Hamilton, Olivia K. L., Zhang, Qian, McRae, Allan F., Walker, Rosie M., Morris, Stewart W., Redmond, Paul, Campbell, Archie, Murray, Alison D., Porteous, David J., Evans, Kathryn L., McIntosh, Andrew M., Deary, Ian J., and Marioni, Riccardo E.
Subjects: Epigenomics, Male, Body Weight, DNA Methylation, Article, Body Mass Index, Cohort Studies, Cardiovascular diseases, Risk factors, Diabetes Mellitus, Type 2, Scotland, Physical Fitness, Genetics, Quality of Life, Humans, Female, Aged
Abstract: Background: \ud The relationship between obesity and adverse health is well established, but little is known about the contribution of DNA methylation to obesity-related health outcomes. This study tests associations between an epigenetic score for body mass index (BMI) and health-related, cognitive, psychosocial and lifestyle outcomes in the Lothian Birth Cohort 1936. This study also tests whether these associations are independent of phenotypic BMI.\ud \ud Method: \ud Analyses were conducted using data from the Lothian Birth Cohort 1936 (n = 892). Weights for the epigenetic BMI score were derived using penalised regression on methylation data from unrelated Generation Scotland participants (n = 2562). Associations were tested for replication in an independent sample: the Lothian Birth Cohort 1921 (n = 433).\ud \ud Results: \ud A higher epigenetic BMI score was associated with higher BMI (R2 = 0.1), greater body weight (R2 = 0.06), greater time taken to walk 6 m, poorer lung function and poorer general physical health (all R2 = 0.02), greater levels of triglycerides (R2 = 0.09), greater %total HbA1c (R2 = 0.06), lower levels of high-density lipoprotein cholesterol (HDL; R2 = 0.08), higher HDL ratio (HDL/total cholesterol; R2 = 0.03), lower health-related quality of life, physical inactivity, and greater social deprivation (all R2 = 0.02). The epigenetic BMI score (per SD) was also associated with type 2 diabetes (OR 2.17, 95% CI 1.67, 2.84), cardiovascular disease (OR 1.45, 95% CI 1.24, 1.71) and high blood pressure (OR 1.30, 95% CI 1.13, 1.49; all p
Published: 2019

32. Association of Polygenic Liabilities for Major Depression, Bipolar Disorder, and Schizophrenia With Risk for Depression in the Danish Population

Author: Musliner, Katherine L., Mortensen, Preben B., McGrath, John J., Suppli, Nis P., Hougaard, David M., Bybjerg-Grauholm, Jonas, Baekvad-Hansen, Marie, Andreassen, Ole, Pedersen, Carsten B., Pedersen, Marianne G., Mors, Ole, Nordentoft, Merete, Borglum, Anders D., Werge, Thomas, Agerbo, Esben, Stahl, Eli A., Breen, Gerome, Forstner, Andreas J., McQuillin, Andrew, Ripke, Stephan, Trubetskoy, Vassily, Mattheisen, Manuel, Wang, Yunpeng, Coleman, Jonathan R., I, Gaspar, Helena A., de Leeuw, Christiaan A., Steinberg, Stacy, Pavlides, Jennifer M. Whitehead, Trzaskowski, Maciej, Pers, Tune H., Holmans, Peter A., Abbott, Liam, Akil, Huda, Albani, Diego, Alliey-Rodriguez, Ney, Als, Thomas D., Anjorin, Adebayo, Antilla, Verneri, Awasthi, Swapnil, Badner, Judith A., Etzekvad-Hansen, Marie, Barchas, Jack D., Bass, Nicholas, Bauer, Michael, Belliveau, Richard, Bergen, Sarah E., Pedersen, Carsten Bocker, Boen, Erlend, Boks, Marco, Boocock, James, Budde, Monika, Bunney, William, Burmeister, Margit, Byerley, William, Casas, Miguel, Cerrato, Felecia, Cervantes, Pablo, Chambert, Kimberly, Chamey, Alexander W., Chen, Danfeng, Churchhouse, Claire, Clarke, Toni-Kim, Coryell, William, Craig, David W., Cruceanu, Cristiana, Curtis, David, Czerski, Piotr M., Dale, Anders M., de Jong, Simone, Degenhardt, Franziska, Del-Favero, Jurgen, DePaulo, J. Raymond, Djurovic, Srdjan, Dobbyn, Amanda L., Dumont, Ashley, Elvsashagen, Torbjorn, Escott-Price, Valentina, Fan, Chun Chieh, Fischer, Sascha B., Flickinger, Matthew, Foroud, Tatiana M., Forty, Liz, Frank, Josef, Fraser, Christine, Freimer, Nelson B., Frisen, Louise, Gade, Katrin, Gage, Diane, Garnham, Julie, Giambartobmei, Claudia, Pedersen, Marianne Giortz, Goldstein, Jaqueline, Gordon, Scott D., Gordon-Smith, Katherine, Green, Elaine K., Green, Melissa J., Greenwood, Tiffany A., Grove, Jakob, Guan, Weihua, Parra, Jose Guzman, Hamshere, Marian L., Hautzinger, Martin, Heilbronner, Urs, Herms, Stefan, Hipolito, Maria, Hoffmann, Per, Holland, Dominic, Huckins, Laura, Jamain, Stephan, Johnson, Jessica S., Jureus, Anders, Kandaswamy, Radhika, Karlsson, Robert, Kennedy, James L., Kittel-Schneider, Sarah, Knott, Sarah, V, Knowles, James A., Kogevinas, Manolis, Koller, Anna C., Kupka, Ralph, Lavebratt, Catharina, Lawrence, Jacob, Lawson, William B., Leber, Markus, Lee, Phil H., Levy, Shawn E., Li, Jun Z., Liu, Chunyu, Lucae, Susanne, Maaser, Anna, MacIntyre, Donald J., Mahon, Pamela B., Maier, Wolfgang, Martinsson, Lina, McCarroll, Steve, McGuffin, Peter, McInnis, Melvin G., McKay, James D., Medeiros, Helena, Medland, Sarah E., Meng, Fan, Milani, Lili, Montgomery, Grant W., Morris, Derek W., Muehleisen, Thomas W., Mullins, Niamh, Nguyen, Hoang, Nievergelt, Caroline M., Adolfsson, Annelie Nordin, Nwulia, Evaristus A., O'Donovan, Claire, Loohuis, Loes M. Olde, Ori, Anil P. S., Oruc, Lilijana, Osby, Urban, Perlis, Roy H., Perry, Amy, Pfennig, Andrea, Potash, James B., Purcell, Shaun M., Regeer, Eline J., Reif, Andreas, Reinbold, Celine S., Rice, John P., Rivas, Fabio, Rivera, Margarita, Roussos, Panos, Ruderfer, Douglas M., Ryu, Euijung, Sanchez-Mora, Cristina, Schatzberg, Alan F., Scheftner, William A., Schork, Nicholas J., Weickert, Cynthia Shannon, Shehktman, Tatyana, Shilling, Paul D., Sigurdsson, Engilbert, Slaney, Claire, Smeland, Olav B., Sobell, Janet L., Hansen, Christine Soholm, Spijker, Anne T., St Clair, David, Steffens, Michael, Strauss, John S., Streit, Fabian, Strohmaier, Jana, Szelinger, Szabolcs, Thompson, Robert C., Thorgeirsson, Thorgeir E., Treutlein, Jens, Vedder, Helmut, Wang, Weiqing, Watson, Stanley J., Weickert, Thomas W., Witt, Stephanie H., Xi, Simon, Xu, Wei, Young, Allan H., Zandi, Peter, Zhang, Peng, Zollner, Sebastian, Agartz, Ingrid, Aida, Martin, Backlund, Lena, Baune, Bernhard T., Bellivier, Frank, Berrettini, Wade H., Biemacka, Joanna M., Blackwood, Douglas H. R., Boehnke, Michael, Berglum, Anders D., Corvin, Aiden, Craddock, Nicholas, Daly, Mark J., Dannlowski, Udo, Esko, Tonu, Etain, Bruno, Frye, Mark, Fullerton, Janice M., Gershon, Elliot S., Goes, Fernando, Grigoroiu-Serbanescu, Maria, Hauser, Joanna, Hultman, Christina M., Jones, Ian, Jones, Lisa A., Kahn, Rene S., Kirov, George, Landen, Mikael, Leboyer, Marion, Lewis, Cathryn M., Li, Qingqin S., Lissowska, Jolanta, Martin, Nicholas G., Mayoral, Fermin, McElroy, Susan L., McIntosh, Andrew M., McMahon, Francis J., Melle, Ingrid, Metspalu, Andres, Mitchell, Philip B., Morken, Gunnar, Mortensen, Preben Bo, Mueller-Myhsok, Bertram, Myers, Richard M., Neale, Benjamin M., Nimgaonkar, Vishwajit, Noethen, Markus M., O'Donovan, Michael C., Oedegaard, Ketil J., Owen, Michael, Paciga, Sara A., Pato, Carlos, Pato, Michele T., Posthuma, Danielle, Ramos-Quiroga, Josep Antoni, Ribases, Marta, Rietschel, Marcella, Rouleau, Guy A., Schalling, Martin, Schofield, Peter R., Schulze, Thomas G., Serretti, Alessandro, Smoller, Jordan W., Stefansson, Hreinn, Stefansson, Kari, Stordal, Eystein, Sullivan, Patrick F., Turecki, Gustavo, Vaaler, Arne E., Ieta, Eduard, V, Vincent, John B., Nurnberger, John, I, Wray, Naomi R., Di Florio, Arianna, Edenberg, Howard J., Cichon, Sven, Ophoff, Roel A., Scott, Laura J., Andreassen, Ole A., Kelsoe, John, Sklar, Pamela, and Psychiat Genomics Consortium
Subjects: Adult, Male, medicine.medical_specialty, Multifactorial Inheritance, Bipolar Disorder, Adolescent, Denmark, 03 medical and health sciences, Young Adult, 0302 clinical medicine, Risk Factors, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Bipolar disorder, Young adult, Association (psychology), Psychiatry, Child, Depression (differential diagnoses), Proportional Hazards Models, Depressive Disorder, Major, Proportional hazards model, business.industry, Depression, Case-control study, Age Factors, medicine.disease, 030227 psychiatry, Psychiatry and Mental health, Schizophrenia, Case-Control Studies, Linear Models, Major depressive disorder, Female, Human medicine, business, 030217 neurology & neurosurgery
Abstract: Importance: Although the usefulness of polygenic risk scores as a measure of genetic liability for major depression (MD) has been established, their association with depression in the general population remains relatively unexplored.Objective: To evaluate whether polygenic risk scores for MD, bipolar disorder (BD), and schizophrenia (SZ) are associated with depression in the general population and explore whether these polygenic liabilities are associated with heterogeneity in terms of age at onset and severity at the initial depression diagnosis.Design, Setting, and Participants: Participants were drawn from the Danish iPSYCH2012 case-cohort study, a representative sample drawn from the population of Denmark born between May 1, 1981, and December 31, 2005. The hazard of depression was estimated using Cox regressions modified to accommodate the case-cohort design. Case-only analyses were conducted using linear and multinomial regressions. The data analysis was conducted from February 2017 to June 2018.Exposures: Polygenic risk scores for MD, BD, and SZ trained using the most recent genome-wide association study results from the Psychiatric Genomics Consortium.Main Outcomes and Measures: The main outcome was first depressive episode (International Statistical Classification of Diseases and Related Health Problems, Tenth Revision [ICD-10] code F32) treated in hospital-based psychiatric care. Severity at the initial diagnosis was measured using the ICD-10 code severity specifications (mild, moderate, severe without psychosis, and severe with psychosis) and treatment setting (inpatient, outpatient, and emergency).Results: Of 34 573 participants aged 10 to 31 years at censoring, 68% of those with depression were female compared with 48.9% of participants without depression. Each SD increase in polygenic liability for MD, BD, and SZ was associated with 30% (hazard ratio [HR], 1.30; 95% CI, 1.27-1.33), 5% (HR, 1.05; 95% CI, 1.02-1.07), and 12% (HR, 1.12; 95% CI, 1.09-1.15) increases in the hazard of depression, respectively. Among cases, a higher polygenic liability for BD was associated with earlier depression onset (β = -.07; SE = .02; P = .002).Conclusions and Relevance: Polygenic liability for MD is associated with first depression in the general population, which supports the idea that these scores tap into an underlying liability for developing the disorder. The fact that polygenic risk for BD and polygenic risk for SZ also were associated with depression is consistent with prior evidence that these disorders share some common genetic overlap. Variations in polygenic liability may contribute slightly to heterogeneity in clinical presentation, but these associations appear minimal.
Published: 2019
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33. Gene expression imputation across multiple brain regions provides insights into schizophrenia risk

Author: Huckins, Laura M, Dobbyn, Amanda, Ruderfer, Douglas M, Hoffman, Gabriel, Wang, Weiqing, Pardinas, Antonio F, Rajagopal, Veera M, Als, Thomas D, Nguyen, Hoang T, Girdhar, Kiran, Boocock, James, Roussos, Panos, Fromer, Menachem, Kramer, Robin, Domenici, Enrico, Gamazon, Eric R, Purcell, Shaun, Demontis, Ditte, Borglum, Anders D, Walters, James TR, O'Donovan, Michael C, Sullivan, Patrick, Owen, Michael J, Devlin, Bernie, Sieberts, Solveig K, Cox, Nancy J, Im, Hae Kyung, Sklar, Pamela, Stahl, Eli A, Johnson, Jessica S, Shah, Hardik R, Klein, Lambertus L, Dang, Kristen K, Logsdon, Benjamin A, Mahajan, Milind C, Mangravite, Lara M, Toyoshiba, Hiroyoshi, Gur, Raquel E, Hahn, Chang-Gyu, Schadt, Eric, Lewis, David A, Haroutunian, Vahram, Peters, Mette A, Lipska, Barbara K, Buxbaum, Joseph D, Hirai, Keisuke, Perumal, Thanneer M, Essioux, Laurent, Rajagopal, Veera Manikandan, Mattheisen, Manuel, Grove, Jakob, Werge, Thomas, Mortensen, Preben Bo, Pedersen, Carsten Bocker, Agerbo, Esben, Pedersen, Marianne Giortz, Mors, Ole, Nordentoft, Merete, Hougaard, David M, Bybjerg-Grauholm, Jonas, Baekvad-Hansen, Marie, Hansen, Christine Soholm, Ripke, Stephan, Neale, Benjamin M, Corvin, Aiden, Farh, Kai-How, Holmans, Peter A, Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A, Huang, Hailiang, Pers, Tune H, Agartz, Ingrid, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A, Begemann, Martin, Jr, Belliveau Richard A, Bene, Judit, Bergen, Sarah E, Bevilacqua, Elizabeth, Bigdeli, Tim B, Black, Donald W, Bruggeman, Richard, Buccola, Nancy G, Buckner, Randy L, Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M, Carr, Vaughan J, Carrera, Noa, Catts, Stanley V, Chambert, Kimberly D, Chan, Raymond CK, Chen, Ronald YL, Chen, Eric YH, Cheng, Wei, Cheung, Eric FC, Chong, Siow Ann, Cloninger, C Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J, Curtis, David, Davidson, Michael, Davis, Kenneth L, Degenhardt, Franziska, Del Favero, Jurgen, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Fanous, Ayman H, Farrell, Martilias S, Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B, Friedl, Marion, Friedman, Joseph I, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodriguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I, Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L, Hansen, Mark, Hansen, Thomas, Hartmann, Annette M, Henskens, Frans A, Herms, Stefan, Hirschhorn, Joel N, Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V, Ikeda, Masashi, Joa, Inge, Julia, Antonio, Kahn, Rene S, Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C, Kennedy, James L, Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Knowles, James A, Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kahler, Anna K, Laurent, Claudine, Keong, Jimmy Lee Chee, Lee, S Hong, Legge, Sophie E, Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M, Lubinski, Jan, Lonnqvist, Jouko, Jr, Macek Milan, Magnusson, Patrik KE, Maher, Brion S, Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattingsdal, Morten, McCarley, Robert W, McDonald, Colm, McIntosh, Andrew M, Meier, Sandra, Meijer, Carin J, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I, Metspalu, Andres, Michie, Patricia T, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Morris, Derek W, Murphy, Kieran C, Murray, Robin M, Myin-Germeys, Inez, Muller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A, Nestadt, Gerald, Nicodemus, Kristin K, Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N, Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T, Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O, Pietilainen, Olli, Pimm, Jonathan, Pocklington, Andrew J, Powell, John, Price, Alkes, Pulver, Ann E, Purcell, Shaun M, Quested, Digby, Rasmussen, Henrik B, Reichenberg, Abraham, Reimers, Mark A, Richards, Alexander L, Roffman, Joshua L, Salomaa, Veikko, Sanders, Alan R, Schall, Ulrich, Schubert, Christian R, Schulze, Thomas G, Schwab, Sibylle G, Scolnick, Edward M, Scott, Rodney J, Seidman, Larry J, Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M, Sim, Kang, Slominsky, Petr, Smoller, Jordan W, So, Hon-Cheong, Spencer, Chris CA, Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E, Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M, Szatkiewicz, Jin P, Soderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T, Weiser, Mark, Wildenauer, Dieter B, Williams, Nigel M, Williams, Stephanie, Witt, Stephanie H, Wolen, Aaron R, Wong, Emily HM, Wormley, Brandon K, Xi, Hualin Simon, Zai, Clement C, Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R, Stefansson, Kari, Visscher, Peter M, Adolfsson, Rolf, Andreassen, Ole A, Blackwood, Douglas HR, Bramon, Elvira, Cichon, Sven, Darvasi, Ariel, Ehrenreich, Hannelore, Esko, Tonu, Gejman, Pablo V, Gill, Michael, Gurling, Hugh, Hultman, Christina M, Iwata, Nakao, Jablensky, Assen V, Jonsson, Erik G, Kendler, Kenneth S, Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F, Li, Qingqin S, Liu, Jianjun, Malhotra, Anil K, McCarroll, Steven A, McQuillin, Andrew, Moran, Jennifer L, Mortensen, Preben B, Mowry, Bryan J, Nothen, Markus M, Ophoff, Roel A, Palotie, Aarno, Pato, Carlos N, Petryshen, Tracey L, Posthuma, Danielle, Rietschel, Marcella, Riley, Brien P, Rujescu, Dan, Sham, Pak C, St Clair, David, Weinberger, Daniel R, Wendland, Jens R, Daly, Mark J, Sullivan, Patrick F, Consortium, CommonMind, Consortium, Psychiat Genomics, Working, iPSYCH-GEMS Schizophrenia, Child and Adolescent Psychiatry / Psychology, ANS - Complex Trait Genetics, APH - Mental Health, Adult Psychiatry, Perceptual and Cognitive Neuroscience (PCN), Groningen Institute for Gastro Intestinal Genetics and Immunology (3GI), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Stem Cell Aging Leukemia and Lymphoma (SALL), Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, CommonMind Consortium, Psychiat Genomics Consortium, iPSYCH-GEMS Schizophrenia Working, Huckins, LM, Dobbyn, A, Ruderfer, DM, Hoffman, G, Lee, SH, Im, HK, iPSYCH-GEMS Schizophrenia Working Group, The Schizophrenia Working Group of the PsyUniversity of Copenhagenchiatric Genomics, Amsterdam Reproduction & Development (AR&D), Human genetics, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, and MUMC+: Hersen en Zenuw Centrum (3)
Subjects: DISORDER, Schizophrenia/genetics, iPSYCH-GEMS Schizophrenia Working Group, CHILDHOOD, Gene Expression, Genome-wide association study, VARIANTS, MOUSE, Medical and Health Sciences, ACUTE INTERMITTENT PORPHYRIA, Genome-wide association studies, 0302 clinical medicine, CommonMind Consortium, 2.1 Biological and endogenous factors, Aetiology, Prefrontal cortex, 0303 health sciences, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Schizophrenia Working Group of the PsyUniversity of Copenhagenchiatric Genomics Consortium, Brain, Case-Control Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Genotype, Humans, Polymorphism, Single Nucleotide, Quantitative Trait Loci, Risk, Schizophrenia, Transcriptome, Single Nucleotide, ASSOCIATION, Transcriptome/genetics, Biological Sciences, Polymorphism, Single Nucleotide/genetics, Mental Health, Genome-Wide Association Study/methods, Medical genetics, TRAITS, Psychosis, medicine.medical_specialty, Computational biology, Quantitative trait locus, Biology, Article, 03 medical and health sciences, PSYCHOSIS, SDG 3 - Good Health and Well-being, medicine, Genetics, Polymorphism, Transcriptomics, Gene, 030304 developmental biology, Brain/physiopathology, Human Genome, medicine.disease, Brain Disorders, Gene Expression/genetics, COGNITIVE DEFICITS, Expression quantitative trait loci, Human medicine, Gene expression, Quantitative Trait Loci/genetics, 030217 neurology & neurosurgery, Imputation (genetics), Developmental Biology
Abstract: Transcriptomic imputation approaches combine eQTL reference panels with large-scale genotype data in order to test associations between disease and gene expression. These genic associations could elucidate signals in complex genome-wide association study (GWAS) loci and may disentangle the role of different tissues in disease development. We used the largest eQTL reference panel for the dorso-lateral prefrontal cortex (DLPFC) to create a set of gene expression predictors and demonstrate their utility. We applied DLPFC and 12 GTEx-brain predictors to 40,299 schizophrenia cases and 65,264 matched controls for a large transcriptomic imputation study of schizophrenia. We identified 413 genic associations across 13 brain regions. Stepwise conditioning identified 67 non-MHC genes, of which 14 did not fall within previous GWAS loci. We identified 36 significantly enriched pathways, including hexosaminidase-A deficiency, and multiple porphyric disorder pathways. We investigated developmental expression patterns among the 67 non-MHC genes and identified specific groups of pre- and postnatal expression. Working Group The Schizophrenia Working Group of the Psychiatric Genomics Consortium Stephan Ripke37,38 Benjamin M. Neale37,38,39,40 Aiden Corvin41 James T. R. Walters6 Kai-How Farh37 Peter A. Holmans6,42 Phil Lee37,38,40 Brendan Bulik-Sullivan37,38 David A. Collier43,44 Hailiang Huang37,39 Tune H. Pers39,45,46 Ingrid Agartz47,48,49 Esben Agerbo8,32,33 Margot Albus50 Madeline Alexander51 Farooq Amin52,53 Silviu A. Bacanu54 Martin Begemann55 Richard A. Belliveau Jr38 Judit Bene56,57 Sarah E. Bergen38,58 Elizabeth Bevilacqua38 Tim B. Bigdeli54 Donald W. Black59 Richard Bruggeman60 Nancy G. Buccola61 Randy L. Buckner62,63,64 William Byerley65 Wiepke Cahn66 Guiqing Cai2,3 Dominique Campion67 Rita M. Cantor10 Vaughan J. Carr68,69 Noa Carrera6 Stanley V. Catts68,70 Kimberly D. Chambert38 Raymond C. K. Chan71 Ronald Y. L. Chen72 Eric Y. H. Chen72,73 Wei Cheng15 Eric F. C. Cheung74 Siow Ann Chong75 C. Robert Cloninger76 David Cohen77 Nadine Cohen78 Paul Cormican41 Nick Craddock6,42 James J. Crowley79 David Curtis80,81 Michael Davidson82 Kenneth L. Davis3 Franziska Degenhardt83,84 Jurgen Del Favero85 Ditte Demontis7,8,9 Dimitris Dikeos86 Timothy Dinan87 Srdjan Djurovic49,88 Gary Donohoe41,89 Elodie Drapeau3 Jubao Duan90,91 Frank Dudbridge92 Naser Durmishi93 Peter Eichhammer94 Johan Eriksson95,96,97 Valentina Escott-Price6 Laurent Essioux98 Ayman H. Fanous99,100,101,102 Martilias S. Farrell79 Josef Frank103 Lude Franke104 Robert Freedman105 Nelson B. Freimer106 Marion Friedl107 Joseph I. Friedman3 Menachem Fromer1,37,38,40 Giulio Genovese38 Lyudmila Georgieva6 Ina Giegling107,108 Paola Giusti-Rodríguez79 Stephanie Godard109 Jacqueline I. Goldstein37,39 Vera Golimbet110 Srihari Gopal111 Jacob Gratten112 Lieuwe de Haan113 Christian Hammer55 Marian L. Hamshere6 Mark Hansen114 Thomas Hansen8,30 Vahram Haroutunian3,25,23 Annette M. Hartmann107 Frans A. Henskens68,115,116 Stefan Herms83,84,117 Joel N. Hirschhorn39,46,118 Per Hoffmann83,84,117 Andrea Hofman83,84 Mads V. Hollegaard36 David M. Hougaard36 Masashi Ikeda119 Inge Joa120 Antonio Julia121 Rene S. Kahn66 Luba Kalaydjieva122,123 Sena Karachanak-Yankova124 Juha Karjalainen104 David Kavanagh6 Matthew C. Keller125 James L. Kennedy126,127,128 Andrey Khrunin129 Yunjung Kim79 Janis Klovins130 James A. Knowles131 Bettina Konte107 Vaidutis Kucinskas132 Zita Ausrele Kucinskiene132 Hana Kuzelova-Ptackova133 Anna K. Kahler58 Claudine Laurent51,134 Jimmy Lee Chee Keong75,135 S. Hong Lee112 Sophie E. Legge6 Bernard Lerer136 Miaoxin Li72,73,137 Tao Li138 Kung-Yee Liang139 Jeffrey Lieberman140 Svetlana Limborska129 Carmel M. Loughland68,141 Jan Lubinski142 Jouko Lonnqvist143 Milan Macek Jr133 Patrik K. E. Magnusson58 Brion S. Maher144 Wolfgang Maier145 Jacques Mallet146 Sara Marsal121 Manuel Mattheisen7,8,9,147 Morten Mattingsdal49,148 Robert W. McCarley149,150 Colm McDonald151 Andrew M. McIntosh152,153 Sandra Meier103 Carin J. Meijer113 Bela Melegh56,57 Ingrid Melle49,154 Raquelle I. Mesholam-Gately149,155 Andres Metspalu156 Patricia T. Michie68,157 Lili Milani156 Vihra Milanova158 Younes Mokrab43 Derek W. Morris41,89 Ole Mors8,9,159 Kieran C. Murphy160 Robin M. Murray161 Inez Myin-Germeys162 Bertram Muller-Myhsok163,164,165 Mari Nelis156 Igor Nenadic166 Deborah A. Nertney167 Gerald Nestadt168 Kristin K. Nicodemus169 Liene Nikitina-Zake130 Laura Nisenbaum170 Annelie Nordin171 Eadbhard O’Callaghan172 Colm O’Dushlaine38 F. Anthony O’Neill173 Sang-Yun Oh174 Ann Olincy126 Line Olsen8,64 Jim Van Os162,175 Christos Pantelis68,176 George N. Papadimitriou86 Sergi Papiol55 Elena Parkhomenko3 Michele T. Pato131 Tiina Paunio177,178 Milica Pejovic-Milovancevic179 Diana O. Perkins180 Olli Pietiläinen178,181 Jonathan Pimm81 Andrew J. Pocklington6 John Powell161 Alkes Price39,182 Ann E. Pulver168 Shaun M. Purcell1 Digby Quested183 Henrik B. Rasmussen30,43 Abraham Reichenberg3 Mark A. Reimers184 Alexander L. Richards6 Joshua L. Roffman62,64 Panos Roussos1,4 Douglas M. Ruderfer1,5,6 Veikko Salomaa97 Alan R. Sanders90,91 Ulrich Schall68,141 Christian R. Schubert185 Thomas G. Schulze103,186 Sibylle G. Schwab187 Edward M. Scolnick38 Rodney J. Scott68,188,189 Larry J. Seidman144,155 Jianxin Shi190 Engilbert Sigurdsson191 Teimuraz Silagadze192 Jeremy M. Silverman3,193 Kang Sim75 Petr Slominsky129 Jordan W. Smoller38,40 Hon-Cheong So72 Chris C. A. Spencer194 Eli A. Stahl1,2,3,4 Hreinn Stefansson195 Stacy Steinberg195 Elisabeth Stogmann196 Richard E. Straub197 Eric Strengman66,198 Jana Strohmaier103 T. Scott Stroup140 Mythily Subramaniam75 Jaana Suvisaari143 Dragan M. Svrakic76 Jin P. Szatkiewicz79 Erik Soderman47 Srinivas Thirumalai199 Draga Toncheva124 Sarah Tosato200 Juha Veijola201,202 John Waddington203 Dermot Walsh204 Dai Wang111 Qiang Wang138 Bradley T. Webb54 Mark Weiser82 Dieter B. Wildenauer205 Nigel M. Williams6 Stephanie Williams79 Stephanie H. Witt103 Aaron R. Wolen184 Emily H. M. Wong72 Brandon K. Wormley54 Hualin Simon Xi206 Clement C. Zai126,127 Xuebin Zheng207 Fritz Zimprich196 Naomi R. Wray112 Kari Stefansson195 Peter M. Visscher112 Rolf Adolfsson171 Ole A. Andreassen49,154 Douglas H. R. Blackwood153 Elvira Bramon208 Joseph D. Buxbaum2,3,24,25 Anders D. Børglum7,8,9,159 Sven Cichon83,84,117,209 Ariel Darvasi210 Enrico Domenici211 Hannelore Ehrenreich55 Tonu Esko39,46,118,156 Pablo V. Gejman90,91 Michael Gill41 Hugh Gurling81 Christina M. Hultman58 Nakao Iwata119 Assen V. Jablensky68,123,205,212 Erik G. Jonsson47,49 Kenneth S. Kendler213 George Kirov6 Jo Knight125,127,128 Todd Lencz214,215,216 Douglas F. Levinson51 Qingqin S. Li111 Jianjun Liu207,217 Anil K. Malhotra214,215,216 Steven A. McCarroll38,118 Andrew McQuillin81 Jennifer L. Moran38 Preben B. Mortensen8,32,33 Bryan J. Mowry112,218 Markus M. Nothen83,84 Roel A. Ophoff10,66,105 Michael J. Owen6,42 Aarno Palotie38,40,181 Carlos N. Pato131 Tracey L. Petryshen38,149,219 Danielle Posthuma220,221,222 Marcella Rietschel103 Brien P. Riley213 Dan Rujescu107,108 Pak C. Sham72,73,137 Pamela Sklar1,2,3,4,25 David St Clair223 Daniel R. Weinberger197,224 Jens R. Wendland185 Thomas Werge8,30,225 Mark J. Daly37,38,39 Patrick F. Sullivan58,79,180 Michael C. O’Donovan6,42 20Integrated Technology Research Laboratories, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Japan. 21Neuropsychiatry Section, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 22Neuropsychiatric Signaling Program, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. 23Psychiatry, JJ Peters Virginia Medical Center, Bronx, NY, USA. 24Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, New York, NY, USA. 25Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 26Seaver Autism Center for Research and Treatment, Icahn School of Medicine at Mount Sinai, New York, NY, USA. 27CNS Drug Discovery Unit, Pharmaceutical Research Division, Takeda Pharmaceutical Company Limited, Fujisawa, Japan. 28F. Hoffman-La Roche Ltd, Basel, Switzerland. 29Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark. 30Institute of Biological Psychiatry, MHC Sct. Hans, Mental Health Services Copenhagen, Roskilde, Denmark. 31Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark. 32National Centre for Register-Based Research, Aarhus University, Aarhus, Denmark. 33Centre for Integrated Registerbased Research, Aarhus University, Aarhus, Denmark. 34Psychosis Research Unit, Aarhus University Hospital, Risskov, Denmark. 35Mental Health Services in the Capital Region of Denmark, Mental Health Center Copenhagen, University of Copenhagen, Copenhagen, Denmark. 36Center for Neonatal Screening, Department for Congenital Disorders, Statens Serum Institut, Copenhagen, Denmark. 37Analytic and Translational Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. 38Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, Cambridge, MA, USA. 39Medical and Population Genetics Program, Broad Institute of MIT and Harvard, Cambridge, MA, USA. 40Psychiatric and Neurodevelopmental Genetics Unit, Massachusetts General Hospital, Boston, MA, USA. 41Neuropsychiatric Genetics Research Group, Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 42NationalCentre for Mental Health, Cardiff University, Cardiff, UK. 43Eli Lilly and Company Limited, Erl Wood Manor, Sunninghill Road, Windlesham, Surrey, UK. 44Social, Genetic and Developmental Psychiatry Centre, Institute of Psychiatry, King’s College London, London, UK. 45Center for BiologicalSequence Analysis, Department of Systems Biology, Technical University of Denmark, Kongens Lyngby, Denmark. 46Division of Endocrinology and Center for Basic and Translational Obesity Research, Boston Children’s Hospital, Boston, MA, USA. 47Department of Clinical Neuroscience, Psychiatry Section, Karolinska Institutet, Stockholm, Sweden. 48Department of Psychiatry, Diakonhjemmet Hospital, Oslo, Norway. 49NORMENT, KG Jebsen Centre for Psychosis Research, Institute of Clinical Medicine, University of Oslo, Oslo, Norway. 50State Mental Hospital, Haar, Germany. 51Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA. 52Department of Psychiatry and Behavioral Sciences, Atlanta Veterans Affairs Medical Center, Atlanta, GA, USA. 53Department of Psychiatry and Behavioral Sciences, Emory University, Atlanta, GA, USA. 54Virginia Institute for Psychiatric and Behavioral Genetics, Department of Psychiatry, Virginia Commonwealth University, Richmond, VA, USA. 55Clinical Neuroscience, Max Planck Institute of Experimental Medicine, Gottingen, Germany. 56Department of Medical Genetics, University of Pécs, Pécs, Hungary. 57Szentagothai Research Center, University of Pécs, Pécs, Hungary. 58Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden. 59Department of Psychiatry, University of Iowa Carver College of Medicine, Iowa City, IA, USA. 60University Medical Center Groningen, Department of Psychiatry, University of Groningen, Groningen, the Netherlands. 61School of Nursing, Louisiana State University Health Sciences Center, New Orleans, LA, USA. 62Athinoula A. Martinos Center, Massachusetts General Hospital, Boston, MA, USA. 63Center for Brain Science, Harvard University, Cambridge, MA, USA. 64Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. 65Department of Psychiatry, University of California at San Francisco, San Francisco, CA, USA. 66University Medical Center Utrecht, Department of Psychiatry, Rudolf Magnus Institute of Neuroscience, Utrecht, the Netherlands. 67Centre Hospitalier du Rouvray and INSERM U1079 Faculty of Medicine, Rouen, France. 68Schizophrenia Research Institute, Sydney, New South Wales, Australia. 69School of Psychiatry, University of New South Wales, Sydney, New South Wales, Australia. 70Royal Brisbane and Women’s Hospital, University of Queensland, Brisbane, Queensland, Australia. 71Institute of Psychology, Chinese Academy of Science, Beijing, China. 72Department of Psychiatry, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. 73State Key Laboratory for Brain and Cognitive Sciences, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong, China. 74Castle Peak Hospital, Hong Kong, China. 75Institute of Mental Health, Singapore, Singapore. 76Department of Psychiatry, Washington University, St. Louis, MO, USA. 77Department of Child and Adolescent Psychiatry, Assistance Publique Hopitaux de Paris, Pierre and Marie Curie Faculty of Medicine and Institute for Intelligent Systems and Robotics, Paris, France. 78Blue Note Biosciences, Princeton, NJ, USA. 79Department of Genetics, University of North Carolina, Chapel Hill, NC, USA. 80Department of Psychological Medicine, Queen Mary University of London, London, UK. 81Molecular Psychiatry Laboratory, Division of Psychiatry, University College London, London, UK. 82Sheba Medical Center, Tel Hashomer, Israel. 83Department of Genomics, Life and Brain Center, Bonn, Germany. 84Institute of Human Genetics, University of Bonn, Bonn, Germany. 85AppliedMolecular Genomics Unit, VIB Department of Molecular Genetics, University of Antwerp, Antwerp, Belgium. 86First Department of Psychiatry, University of Athens Medical School, Athens, Greece. 87Department of Psychiatry, University College Cork, Co, Cork, Ireland. 88Department of Medical Genetics, Oslo University Hospital, Oslo, Norway. 89Cognitive Genetics and Therapy Group, School of Psychology and Discipline of Biochemistry, National University of Ireland Galway, Co, Galway, Ireland. 90Department of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, IL, USA. 91Department of Psychiatry and Behavioral Sciences, North Shore University Health System, Evanston, IL, USA. 92Department of Non-Communicable Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, UK. 93Department of Child and Adolescent Psychiatry, University Clinic of Psychiatry, Skopje, Republic of Macedonia. 94Department of Psychiatry, University of Regensburg, Regensburg, Germany. 95Department of General Practice, Helsinki University Central Hospital, University of Helsinki, Helsinki, Finland. 96Folkhälsan Research Center, Helsinki, Finland, Biomedicum Helsinki, Helsinki, Finland. 97National Institute for Health and Welfare, Helsinki, Finland. 98Translational Technologies and Bioinformatics, Pharma Research and Early Development, F. Hoffman-La Roche, Basel, Switzerland. 99Department of Psychiatry, Georgetown University School of Medicine, Washington, DC, USA. 100Department of Psychiatry, Keck School of Medicine of the University of Southern California, Los Angeles, CA, USA. 101Department of Psychiatry, Virginia Commonwealth University School of Medicine, Richmond, VA, USA. 102Mental Health Service Line, Washington VA Medical Center, Washington, DC, USA. 103Department of Genetic Epidemiology in Psychiatry, Central Institute of Mental Health, Medical Faculty Mannheim, University of Heidelberg, Heidelberg, Mannheim, Germany. 104Department of Genetics, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands. 105Department of Psychiatry, University of Colorado Denver, Aurora, CO, USA. 106Center for Neurobehavioral Genetics, Semel Institute for Neuroscience and Human Behavior, University of California Los Angeles, Los Angeles, CA, USA. 107Department of Psychiatry, University of Halle, Halle, Germany. 108Department of Psychiatry, University of Munich, Munich, Germany. 109Departments of Psychiatry and Human and Molecular Genetics, INSERM, Institut de Myologie, Hôpital de la Pitiè-Salpêtrière, Paris, France. 110Mental Health Research Centre, Russian Academy of Medical Sciences, Moscow, Russia. 111Neuroscience Therapeutic Area, Janssen Research and Development, Raritan, NJ, USA. 112Queensland Brain Institute, The University of Queensland, Brisbane, Queensland, Australia. 113Academic Medical Centre University of Amsterdam, Department of Psychiatry, Amsterdam, the Netherlands. 114Illumina, La Jolla, CA, USA. 115Priority Research Centre for Health Behaviour, University of Newcastle, Newcastle, New South Wales, Australia. 116School of Electrical Engineering and Computer Science, University of Newcastle, Newcastle, New South Wales, Australia. 117Division of Medical Genetics, Department of Biomedicine, University of Basel, Basel, Switzerland. 118Department of Genetics, Harvard Medical School, Boston, MA, USA. 119Department of Psychiatry, Fujita Health University School of Medicine, Toyoake, Japan. 120Regional Centre for Clinical Researchin Psychosis, Department of Psychiatry, Stavanger University Hospital, Stavanger, Norway. 121Rheumatology Research Group, Vall d’Hebron Research Institute, Barcelona, Spain. 122Centre for Medical Research, The University of Western Australia, Perth, Western Australia, Australia. 123The Perkins Institute for Medical Research, The University of Western Australia, Perth, Western Australia, Australia. 124Department of Medical Genetics, Medical University, Sofia, Bulgaria. 125Department of Psychology, University of Colorado Boulder, Boulder, CO, USA. 126Campbell Family Mental Health Research Institute, Centre for Addiction and Mental Health, Toronto, Ontario, Canada. 127Department of Psychiatry, University of Toronto, Toronto, Ontario, Canada. 128Institute of Medical Science, University of Toronto, Toronto, Ontario, Canada. 129Institute of Molecular Genetics, Russian Academy of Sciences, Moscow, Russia. 130Latvian Biomedical Research and Study Centre, Riga, Latvia. 131Department of Psychiatry and Zilkha Neurogenetics Institute, Keck School of Medicine at University of Southern California, Los Angeles, CA, USA. 132Faculty of Medicine, Vilnius University, Vilnius, Lithuania. 133Department of Biology and Medical Genetics, 2nd Faculty of Medicine and University Hospital Motol, Prague, Czech Republic. 134Department of Child and Adolescent Psychiatry, Pierre and Marie Curie Faculty of Medicine, Paris, France. 135Duke-NUS Graduate Medical School, Singapore, Singapore. 136Department of Psychiatry, Hadassah-Hebrew University Medical Center, Jerusalem, Israel. 137Centre for Genomic Sciences, The University of Hong Kong, Hong Kong, China. 138Mental Health Centre and Psychiatric Laboratory, West China Hospital, Sichuan University, Chengdu, Sichuan, China. 139Department of Biostatistics, Johns Hopkins University Bloomberg School of Public Health, Baltimore, MD, USA. 140Department of Psychiatry, Columbia University, New York, New York, NY, USA. 141Priority Centre for Translational Neuroscience and Mental Health, University of Newcastle, Newcastle, New South Wales, Australia. 142Department of Genetics and Pathology, International Hereditary Cancer Center, Pomeranian Medical University in Szczecin, Szczecin, Poland. 143Department of Mental Health and Substance Abuse Services, National Institute for Health and Welfare, Helsinki, Finland. 144Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA. 145Department of Psychiatry, University of Bonn, Bonn, Germany. 146Centre National de la Recherche Scientifique, Laboratoire de Génétique Moléculaire de la Neurotransmission et des Processus Neurodénégératifs, Hôpital de la Pitiè-Salpêtrière, Paris, France. 147Department of Genomics Mathematics, University of Bonn, Bonn, Germany. 148Research Unit, Sørlandet Hospital, Kristiansand, Norway. 149Department of Psychiatry, Harvard Medical School, Boston, MA, USA. 150VA Boston Health Care System, Brockton, MA, USA. 151Department of Psychiatry, National University of Ireland Galway, Co, Galway, Ireland. 152Centre for Cognitive Ageing and Cognitive Epidemiology, University of Edinburgh, Edinburgh, UK. 153Division of Psychiatry, University of Edinburgh, Edinburgh, UK. 154Division of Mental Health and Addiction, Oslo University Hospital, Oslo, Norway. 155Massachusetts Mental Health Center Public Psychiatry Division of the Beth Israel Deaconess Medical Center, Boston, MA, USA. 156Estonian Genome Center, University of Tartu, Tartu, Estonia. 157School of Psychology, University of Newcastle, Newcastle, New South Wales, Australia. 158First Psychiatric Clinic, Medical University, Sofia, Bulgaria. 159Department P, Aarhus University Hospital, Risskov, Denmark. 160Department of Psychiatry, Royal College of Surgeons in Ireland, Dublin, Ireland. 161King’s College London, London, UK. 162Maastricht University Medical Centre, South Limburg Mental Health Research and TeachingNetwork, EURON, Maastricht, the Netherlands. 163Institute of Translational Medicine, University of Liverpool, Liverpool, UK. 164Max Planck Institute of Psychiatry, Munich, Germany. 165Munich Cluster for Systems Neurology (SyNergy), Munich, Germany. 166Department of Psychiatry and Psychotherapy, Jena University Hospital, Jena, Germany. 167Department of Psychiatry, Queensland Brain Institute and Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia. 168Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD, USA. 169Department of Psychiatry, Trinity College Dublin, Dublin, Ireland. 170Eli Lilly and Company, Lilly Corporate Center, Indianapolis, IN, USA. 171Department of Clinical Sciences, Psychiatry, Umeå University, Umeå, Sweden. 172DETECT Early Intervention Service for Psychosis, Blackrock, Co, Dublin, Ireland. 173Centre for Public Health, Institute of Clinical Sciences, Queen’s University Belfast, Belfast, UK. 174Lawrence Berkeley National Laboratory, University of California at Berkeley, Berkeley, CA, USA. 175Institute of Psychiatry, King’s College London, London, UK. 176Melbourne Neuropsychiatry Centre, University of Melbourne & Melbourne Health, Melbourne, Victoria, Australia. 177Department of Psychiatry, University of Helsinki, Helsinki, Finland. 178Public Health Genomics Unit, National Institute for Health and Welfare, Helsinki, Finland. 179Medical Faculty, University of Belgrade, Belgrade, Serbia. 180Department of Psychiatry, University of North Carolina, Chapel Hill, NC, USA. 181Institute for Molecular Medicine Finland, FIMM, University of Helsinki, Helsinki, Finland. 182Department of Epidemiology, Harvard School of Public Health, Boston, MA, USA. 183Department of Psychiatry, University of Oxford, Oxford, UK. 184Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, VA, USA. 185Pharma Therapeutics Clinical Research, Pfizer Worldwide Research and Development, Cambridge, MA, USA. 186Department of Psychiatry and Psychotherapy, University of Gottingen, Göttingen, Germany. 187Psychiatry and Psychotherapy Clinic, University of Erlangen, Erlangen, Germany. 188Hunter New England Health Service, Newcastle, New South Wales, Australia. 189School of Biomedical Sciences, University of Newcastle, Newcastle, New South Wales, Australia. 190Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD, USA. 191University of Iceland, Landspitali, National University Hospital, Reykjavik, Iceland. 192Department of Psychiatry and Drug Addiction, Tbilisi State Medical University (TSMU), Tbilisi, Georgia. 193Research and Development, Bronx Veterans Affairs Medical Center, New York, NY, USA. 194WellcomeTrust Centre for Human Genetics, Oxford, UK. 195deCODE Genetics, Reykjavik, Iceland. 196Department of Clinical Neurology, Medical University of Vienna, Wien, Austria. 197Lieber Institute for Brain Development, Baltimore, MD, USA. 198Department of Medical Genetics, University Medical Centre Utrecht, Utrecht, the Netherlands. 199Berkshire Healthcare NHS Foundation Trust, Bracknell, UK. 200Section of Psychiatry, University of Verona, Verona, Italy. 201Department of Psychiatry, University of Oulu, Oulu, Finland. 202University Hospital of Oulu, Oulu, Finland. 203Molecular and Cellular Therapeutics, Royal College of Surgeons in Ireland, Dublin, Ireland. 204Health Research Board, Dublin, Ireland. 205School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, Western Australia, Australia. 206Computational Sciences CoE, Pfizer Worldwide Research and Development, Cambridge, MA, USA. 207Human Genetics, Genome Institute of Singapore, A*STAR, Singapore, Singapore. 208University College London, London, UK. 209Institute of Neuroscience and Medicine (INM-1), Research Center Juelich, Juelich, Germany. 210Department of Genetics, The Hebrew University of Jerusalem, Jerusalem, Israel. 211NeuroscienceDiscovery and Translational Area, Pharma Research and Early Development, F. Hoffman-La Roche, Basel, Switzerland. 212Centre for Clinical Research in Neuropsychiatry, School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Medical Research Foundation Building, Perth, Western Australia, Australia. 213Virginia Institute for Psychiatric and Behavioral Genetics, Departments of Psychiatry and Human and Molecular Genetics, Virginia Commonwealth University, Richmond, VA, USA. 214The Feinstein Institute for Medical Research, Manhasset, NY, USA. 215The Hofstra NS-LIJ School of Medicine, Hempstead, NY, USA. 216The Zucker Hillside Hospital, Glen Oaks, NY, USA. 217Saw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore. 218Queensland Centre for Mental Health Research, University of Queensland, Brisbane, Queensland, Australia. 219Center for HumanGenetic Research and Department of Psychiatry, Massachusetts General Hospital, Boston, MA, USA. 220Department of Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, the Netherlands. 221Department of Complex Trait Genetics, Neuroscience Campus Amsterdam, VU University Medical Center Amsterdam, Amsterdam, the Netherlands. 222Department of Functional Genomics, Center for Neurogenomics and Cognitive Research, Neuroscience Campus Amsterdam, VU University, Amsterdam, the Netherlands. 223University of Aberdeen, Institute of Medical Sciences, Aberdeen, UK. 224Departments of Psychiatry, Neurology, Neuroscience and Institute of Genetic Medicine, Johns Hopkins School of Medicine, Baltimore, MD, USA. 225Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark.
Published: 2019
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34. Genetic contributions to two special factors of neuroticism are associated with affluence, higher intelligence, better health, and longer life

Author: Hill, W. David, Weiss, Alexander, Liewald, David C., Davies, Gail, Porteous, David J., Hayward, Caroline, McIntosh, Andrew M., Gale, Catharine R., and Deary, Ian J.
Subjects: Adult, Male, Neuroticism, Emotions, Intelligence, Longevity, Anxiety, Middle Aged, Article, Health, mental disorders, Genetics, Psychology, Economic Status, Humans, Female, Psychiatric disorders, Aged
Abstract: Higher scores on the personality trait of neuroticism, the tendency to experience negative emotions, are associated with worse mental and physical health. Studies examining links between neuroticism and health typically operationalize neuroticism by summing the items from a neuroticism scale. However, neuroticism is made up of multiple heterogeneous facets, each contributing to the effect of neuroticism as a whole. A recent study showed that a 12-item neuroticism scale described one broad trait of general neuroticism and two special factors, one characterizing the extent to which people worry and feel vulnerable, and the other characterizing the extent to which people are anxious and tense. This study also found that, although individuals who were higher on general neuroticism lived shorter lives, individuals whose neuroticism was characterized by worry and vulnerability lived longer lives. Here, we examine the genetic contributions to the two special factors of neuroticism—anxiety/tension and worry/vulnerability—and how they contrast with that of general neuroticism. First, we show that, whereas the polygenic load for neuroticism is associated with the genetic risk of coronary artery disease, lower intelligence, lower socioeconomic status (SES), and poorer self-rated health, the genetic variants associated with high levels of anxiety/tension, and high levels of worry/vulnerability are associated with genetic variants linked to higher SES, higher intelligence, better self-rated health, and longer life. Second, we identify genetic variants that are uniquely associated with these protective aspects of neuroticism. Finally, we show that different neurological pathways are linked to each of these neuroticism phenotypes.
Published: 2019
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35. Reversal of proliferation deficits caused by chromosome 16p13.11 microduplication through targeting NFκB signaling:An integrated study of patient-derived neuronal precursor cells, cerebral organoids and in vivo brain imaging

Author: Johnstone, Mandy, Vasistha, Navneet A., Barbu, Miruna C., Dando, Owen, Burr, Karen, Christopher, Edward, Glen, Sophie, Robert, Christelle, Fetit, Rana, Macleod, Kenneth G., Livesey, Matthew R., Clair, David St., Blackwood, Douglas H. R., Millar, Kirsty, Carragher, Neil O., Hardingham, Giles E., Wyllie, David J. A., Johnstone, Eve C., Whalley, Heather C., McIntosh, Andrew M., Lawrie, Stephen M., and Chandran, Siddharthan
Subjects: Adult, Male, Neurons, Mental Disorders, Stem Cells, Induced Pluripotent Stem Cells, NF-kappa B, Brain, Neuroimaging, Middle Aged, Article, Organoids, Intellectual Disability, Chromosome Duplication, Humans, Abnormalities, Multiple, Female, Chromosomes, Human, Pair 16, Aged, Cell Proliferation, Signal Transduction
Abstract: The molecular basis of how chromosome 16p13.11 microduplication leads to major psychiatric disorders is unknown. Here we have undertaken brain imaging of patients carrying microduplications in chromosome 16p13.11 and unaffected family controls, in parallel with iPS cell-derived cerebral organoid studies of the same patients. Patient MRI revealed reduced cortical volume, and corresponding iPSC studies showed neural precursor cell (NPC) proliferation abnormalities and reduced organoid size, with the NPCs therein displaying altered planes of cell division. Transcriptomic analyses of NPCs uncovered a deficit in the NFκB p65 pathway, confirmed by proteomics. Moreover, both pharmacological and genetic correction of this deficit rescued the proliferation abnormality. Thus, chromosome 16p13.11 microduplication disturbs the normal programme of NPC proliferation to reduce cortical thickness due to a correctable deficit in the NFκB signalling pathway. This is the first study demonstrating a biologically relevant, potentially ameliorable, signalling pathway underlying chromosome 16p13.11 microduplication syndrome in patient-derived neuronal precursor cells.
Published: 2019
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36. Genome-wide by environment interaction studies of depressive symptoms and psychosocial stress in UK Biobank and Generation Scotland

Author: Arnau-Soler, Aleix, Macdonald-Dunlop, Erin, McIntosh, Andrew M, Thomson, Pippa A, Abdellaoui, A., Dolan, Conor, Hottenga, Jouke Jan, Mbarek, Hamdi, Middeldorp, Christel M., Nivard, Michel, Willemsen, Gonneke, Boomsma, Dorret, de Geus, Eco J.C., APH - Methodology, Biological Psychology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, APH - Mental Health, AMS - Sports, and AMS - Ageing & Vitality
Subjects: Depressive Disorder, Major/etiology, Male, Depressive Disorder, Multifactorial Inheritance, Depression/etiology, Major/etiology, Single Nucleotide, Polymorphism, Single Nucleotide, United Kingdom, Cohort Studies, Life Change Events, Scotland, Humans, Regression Analysis, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Polymorphism, Biological Specimen Banks, Genome-Wide Association Study
Abstract: Stress is associated with poorer physical and mental health. To improve our understanding of this link, we performed genome-wide association studies (GWAS) of depressive symptoms and genome-wide by environment interaction studies (GWEIS) of depressive symptoms and stressful life events (SLE) in two UK population-based cohorts (Generation Scotland and UK Biobank). No SNP was individually significant in either GWAS, but gene-based tests identified six genes associated with depressive symptoms in UK Biobank (DCC, ACSS3, DRD2, STAG1, FOXP2 and KYNU; p
Published: 2019
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37. Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP

Author: Wigmore, Eleanor M., Hafferty, Jonathan D., Hall, Lynsey S., Howard, David M., Clarke, Toni-Kim, Fabbri, Chiara, Lewis, Cathryn M., Uher, Rudolf, Navrady, Lauren B., Adams, Mark J., Zeng, Yanni, Campbell, Archie, Gibson, Jude, Thomson, Pippa A., Hayward, Caroline, Smith, Blair H., Hocking, Lynne J., Padmanabhan, Sandosh, Deary, Ian J., Porteous, David J., Mors, Ole, Mattheisen, Manuel, Nicodemus, Kristin K., McIntosh, Andrew M., Wigmore E.M., Hafferty J.D., Hall L.S., Howard D.M., Clarke T.-K., Fabbri C., Lewis C.M., Uher R., Navrady L.B., Adams M.J., Zeng Y., Campbell A., Gibson J., Thomson P.A., Hayward C., Smith B.H., Hocking L.J., Padmanabhan S., Deary I.J., Porteous D.J., Mors O., Mattheisen M., Nicodemus K.K., and McIntosh A.M.
Subjects: Data Analysis, VENLAFAXINE, Adult, Male, Drug Prescriptions, Article, Cohort Studies, Depressive Disorder, Treatment-Resistant, Drug Prescription, SCHIZOPHRENIA, SYSTEMATIC ANALYSIS, Humans, Genetic Predisposition to Disease, PREDICTORS, Genetic association study, Health Service, RISK, PHARMACOGENETICS, MAJOR DEPRESSION, Health Services, GLOBAL BURDEN, Middle Aged, Antidepressive Agents, DEFINITION, Scotland, Data Analysi, HPA AXIS, Population Surveillance, Antidepressive Agent, Female, Cohort Studie, Pharmacogenomics, Genome-Wide Association Study, Human
Abstract: Antidepressants demonstrate modest response rates in the treatment of major depressive disorder (MDD). Despite previous genome-wide association studies (GWAS) of antidepressant treatment response, the underlying genetic factors are unknown. Using prescription data in a population and family-based cohort (Generation Scotland: Scottish Family Health Study; GS:SFHS), we sought to define a measure of (a) antidepressant treatment resistance and (b) stages of antidepressant resistance by inferring antidepressant switching as non-response to treatment. GWAS were conducted separately for antidepressant treatment resistance in GS:SFHS and the Genome-based Therapeutic Drugs for Depression (GENDEP) study and then meta-analysed (meta-analysis n = 4213, cases = 358). For stages of antidepressant resistance, a GWAS on GS:SFHS only was performed (n = 3452). Additionally, we conducted gene-set enrichment, polygenic risk scoring (PRS) and genetic correlation analysis. We did not identify any significant loci, genes or gene sets associated with antidepressant treatment resistance or stages of resistance. Significant positive genetic correlations of antidepressant treatment resistance and stages of resistance with neuroticism, psychological distress, schizotypy and mood disorder traits were identified. These findings suggest that larger sample sizes are needed to identify the genetic architecture of antidepressant treatment response, and that population-based observational studies may provide a tractable approach to achieving the necessary statistical power.
Published: 2019
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38. Exploration of Shared Genetic Architecture Between Subcortical Brain Volumes and Anorexia Nervosa

Author: Walton, E, Hibar, D, Yilmaz, Z, Jahanshad, N, Cheung, J, Batury, V-L, Seitz, J, Bulik, CM, Thompson, PM, Ehrlich, Stefan, Hibar, Derrek P, Stein, Jason L, Renteria, Miguel E, Arias-Vasquez, Alejandro, Desrivieres, Sylvane, Jahanshad, Neda, Toro, Roberto, Wittfeld, Katharina, Abramovic, Lucija, Andersson, Micael, Aribisala, Benjamin S, Armstrong, Nicola J, Bernard, Manon, Bohlken, Marc M, Boks, Marco P, Bralten, Janita, Brown, Andrew A, Chakravarty, M Mallar, Chen, Qiang, Ching, Christopher RK, Cuellar-Partida, Gabriel, Den Braber, Anouk, Giddaluru, Sudheer, Goldman, Aaron L, Grimm, Oliver, Guadalupe, Tulio, Hass, Johanna, Woldehawariat, Girma, Holmes, Avram J, Hoogman, Martine, Janowitz, Deborah, Jia, Tianye, Kim, Sungeun, Klein, Marieke, Kraemer, Bernd, Lee, Phil H, Loohuis, Loes M Olde, Luciano, Michelle, Macare, Christine, Mather, Karen A, Mattheisen, Manuel, Milaneschi, Yuri, Nho, Kwangsik, Papmeyer, Martina, Ramasamy, Adaikalavan, Risacher, Shannon L, Roiz-Santianez, Roberto, Rose, Emma J, Salami, Alireza, Samann, Philipp G, Schmaal, Lianne, Schork, Andrew J, Shin, Jean, Strike, Lachlan T, Teumer, Alexander, van Donkelaar, Marjolein MJ, van Eijk, Kristel R, Walters, Raymond K, Westlye, Lars T, Whelan, Christopher D, Winkler, Anderson M, Zwiers, Marcel P, Alhusaini, Saud, Athanasiu, Lavinia, Hakobjan, Marina MH, Hartberg, Cecilie B, Haukvik, Unn K, Heister, Angelien JGAM, Hohn, David, Kasperaviciute, Dalia, Liewald, David CM, Lopez, Lorna M, Makkinje, Remco RR, Matarin, Mar, Naber, Marlies AM, Mckay, David R, Needham, Margaret, Nugent, Allison C, Putz, Benno, Shen, Li, Sprooten, Emma, Trabzuni, Daniah, van der Marel, Saskia SL, van Hulzen, Kimm JE, Walton, Esther, Wolf, Christiane, Almasy, Laura, Ames, David, Arepalli, Sampath, Assareh, Amelia A, Bastin, Mark E, Brodaty, Henry, Bulayeva, Kazima B, Carless, Melanie A, Cichon, Sven, Corvin, Aiden, Curran, Joanne E, Czisch, Michael, de Zubicaray, Greig I, Dillman, Allissa, Duggirala, Ravi, Dyer, Thomas D, Erk, Susanne, Fedko, Iryna O, Ferrucci, Luigi, Foroud, Tatiana M, Fox, Peter T, Fukunaga, Masaki, Gibbs, J Raphael, Goring, Harald HH, Green, Robert C, Guelfi, Sebastian, Hansell, Narelle K, Hartman, Catharina A, Hegenscheid, Katrin, Heinz, Andreas, Hernandez, Dena G, Heslenfeld, Dirk J, Hoekstra, Pieter J, Holsboer, Florian, Homuth, Georg, Hottenga, Jouke-Jan, Ikeda, Masashi, Jr, Jack Clifford R, Jenkinson, Mark, Johnson, Robert, Kanai, Ryota, Keil, Maria, Jr, Kent Jack W, Kochunov, Peter, Kwok, John B, Lawrie, Stephen M, Liu, Xinmin, Longo, Dan L, McMahon, Katie L, Meisenzahl, Eva, Melle, Ingrid, Mohnke, Sebastian, Montgomery, Grant W, Mostert, Jeanette C, Muhleisen, Thomas W, Nalls, Michael A, Nichols, Thomas E, Nilsson, Lars G, Nothen, Markus M, Ohi, Kazutaka, Olvera, Rene L, Perez-Iglesias, Rocio, Pike, G Bruce, Potkin, Steven G, Reinvang, Ivar, Reppermund, Simone, Rietschel, Marcella, Romanczuk-Seiferth, Nina, Rosen, Glenn D, Rujescu, Dan, Schnell, Knut, Schofield, Peter R, Smith, Colin, Steen, Vidar M, Sussmann, Jessika E, Thalamuthu, Anbupalam, Toga, Arthur W, Traynor, Bryan J, Troncoso, Juan, Turner, Jessica A, Hernandez, Maria C Valdes, van't Ent, Dennis, van der Brug, Marcel, van der Wee, Nic JA, van Tol, Marie-Jose, Veltman, Dick J, Wassink, Thomas H, Westman, Eric, Zielke, Ronald H, Zonderman, Alan B, Ashbrook, David G, Hager, Reinmar, Lu, Lu, McMahon, Francis J, Morris, Derek W, Williams, Robert W, Brunner, Han G, Buckner, Randy L, Buitelaar, Jan K, Cahn, Wiepke, Calhoun, Vince D, Cavalleri, Gianpiero L, Crespo-Facorro, Benedicto, Dale, Anders M, Davies, Gareth E, Delanty, Norman, Depondt, Chantal, Djurovic, Srdjan, Drevets, Wayne C, Espeseth, Thomas, Gollub, Randy L, Ho, Beng-Choon, Hoffmann, Wolfgang, Hosten, Norbert, Kahn, Rene S, Le Hellard, Stephanie, Meyer-Lindenberg, Andreas, Mueller-Myhsok, Bertram, Nauck, Matthias, Nyberg, Lars, Pandolfo, Massimo, Penninx, Brenda WJH, Roffman, Joshua L, Sisodiya, Sanjay M, Smoller, Jordan W, van Bokhoven, Hans, van Haren, Neeltje EM, Volzke, Henry, Walter, Henrik, Weiner, Michael W, Wen, Wei, White, Tonya, Agartz, Ingrid, Andreassen, Ole A, Blangero, John, Boomsma, Dorret I, Brouwer, Rachel M, Cannon, Dara M, Cookson, Mark R, de Geus, Eco JC, Deary, Ian J, Donohoe, Gary, Fernandez, Guillen, Fisher, Simon E, Francks, Clyde, Glahn, David C, Grabe, Hans J, Gruber, Oliver, Hardy, John, Hashimoto, Ryota, Pol, Hilleke E Hulshoff, Jonsson, Erik G, Kloszewska, Iwona, Lovestone, Simon, Mattay, Venkata S, Mecocci, Patrizia, McDonald, Colm, McIntosh, Andrew M, Ophoff, Roel A, Paus, Tomas, Pausova, Zdenka, Ryten, Mina, Sachdev, Perminder S, Saykin, Andrew J, Simmons, Andrew, Singleton, Andrew, Soininen, Hilkka, Wardlaw, Joanna M, Weale, Michael E, Weinberger, Daniel R, Adams, Hieab HH, Launer, Lenore J, Seiler, Stephan, Schmidt, Reinhold, Chauhan, Ganesh, Satizabal, Claudia L, Becker, James T, Yanek, Lisa R, van der Lee, Sven J, Ebling, Maritza, Fischl, Bruce, Longstreth, WT, Greve, Douglas, Schmidt, Helena, Nyquist, Paul, Vinke, Louis N, van Duijn, Cornelia M, Luting, Xue, Mazoyer, Bernard, Bis, Joshua C, Gudnason, Vilmundur, Seshadri, Sudha, Ikram, M Arfan, Martin, Nicholas G, Wright, Margaret J, Schumann, Gunter, Franke, Barbara, Thompson, Paul M, Medland, Sarah E, Duncan, Laramie, Yilmaz, Zeynep, Walters, Raymond, Goldstein, Jackie, Anttila, Verneri, Bulik-Sullivan, Brendan, Ripke, Stephan, Adan, Roger, Alfredsson, Lars, Ando, Tetsuya, Andreassen, Ole, Aschauer, Harald, Baker, Jessica, Barrett, Jeffrey, Bencko, Vladimir, Bergen, Andrew, Berrettini, Wade, Birgegard, Andreas, Boni, Claudette, Perica, Vesna Boraska, Brandt, Harry, Burghardt, Roland, Carlberg, Laura, Cassina, Matteo, Cichon, Carolyn Cesta Sven, Clementi, Maurizio, Cohen-Woods, Sarah, Coleman, Joni, Cone, Roger, Courtet, Philippe, Crawford, Steven, Crow, Scott, Crowley, Jim, Danner, Unna, Davis, Oliver, de Zwaan, Martina, Dedoussis, George, Degortes, Daniela, DeSocio, Janiece, Dick, Danielle, Dikeos, Dimitris, Dina, Christian, Ding, Bo, Dmitrzak-Weglarz, Monika, Docampo, Elisa, Egberts, Karin, Escaramis, Georgia, Esko, Tonu, Estivill, Xavier, Favaro, Angela, Fernandez-Aranda, Fernando, Fichter, Manfred, Finan, Chris, Fischer, Krista, Floyd, James, Focker, Manuel, Foretova, Lenka, Forzan, Monica, Fox, Caroline, Franklin, Christopher, Gallinger, Valerie Gaborieau Steven, Gambaro, Giovanni, Gaspar, Helena, Giegling, Ina, Gonidakis, Fragiskos, Gorwood, Philip, Gratacos, Monica, Guillaume, Sebastien, Guo, Yiran, Hakonarson, Hakon, Halmi, Katherine, Harrison, Rebecca, Hatzikotoulas, Konstantinos, Hauser, Joanna, Hebebrand, Johannes, Helder, Sietske, Hendriks, Judith, Herms, Stefan, Herpertz-Dahlmann, Beate, Herzog, Wolfgang, Hilliard, Christopher, Huckins, Laura, Hudson, James, Huemer, Julia, Imgart, Hartmut, Inoko, Hidetoshi, Jamain, Sigrid Jall Stephane, Janout, Vladimir, Jimenez-Murcia, Susana, Johnson, Craig, Jordan, Jenny, Julia, Antonio, Jureus, Anders, Kalsi, Gursharan, Kaplan, Allan, Kaprio, Jaakko, Karhunen, Leila, Karwautz, Andreas, Kas, Martien, Kaye, Walter, Kennedy, Martin, Kennedy, James, Keski-Rahkonen, Anna, Kiezebrink, Kirsty, Kim, Youl-Ri, Klareskog, Lars, Klump, Kelly, Knudsen, Gun Peggy, Koeleman, Bobby, Koubek, Doris, La Via, Maria, Landen, Mikael, Leboyer, Marion, Levitan, Robert, Li, Dong, Lichtenstein, Paul, Lilenfeld, Lisa, Lissowska, Jolanta, Lundervold, Astri, Magistretti, Pierre, Maj, Mario, Mannik, Katrin, Marsal, Sara, Kaminska, Debora, Martin, Nicholas, Mattingsdal, Morten, McDevitt, Sara, McGuffin, Peter, Merl, Elisabeth, Metspalu, Andres, Meulenbelt, Ingrid, Micali, Nadia, Mitchell, James, Mitchell, Karen, Monteleone, Palmiero, Monteleone, Alessio Maria, Montgomery, Grant, Mortensen, Preben, Munn-Chernoff, Melissa, Mueller, Timo, Nacmias, Benedetta, Navratilova, Marie, Nilsson, Ida, Norring, Claes, Ntalla, Ioanna, Ophoff, Roel, O'Toole, Julie, Palotie, Aarno, Pantel, Jacques, Papezova, Hana, Pinto, Richard Parker Dalila, Rabionet, Raquel, Raevuori, Anu, Rajewski, Andrzej, Ramoz, Nicolas, Rayner, N William, Reichborn-Kjennerud, Ted, Ricca, Valdo, Ripatti, Samuli, Ritschel, Franziska, Roberts, Marion, Rotondo, Alessandro, Rybakowski, Filip, Santonastaso, Paolo, Scherag, Andre, Scherer, Stephen, Schmidt, Ulrike, Schork, Nicholas, Schosser, Alexandra, Scott, Laura, Seitz, Jochen, Slachtova, Lenka, Sladek, Robert, Slagboom, P Eline, Slof-Op't Landt, Margarita, Slopien, Agnieszka, Smith, Tosha, Soranzo, Nicole, Sorbi, Sandro, Southam, Lorraine, Steen, Vidar, Strengman, Eric, Strober, Michael, Szatkiewicz, Jin, Szeszenia-Dabrowska, Neonila, Tachmazidou, Ioanna, Tenconi, Elena, Tortorella, Alfonso, Tozzi, Federica, Treasure, Janet, Tschop, Matthias, Tsitsika, Artemis, Tziouvas, Konstantinos, van Elburg, Annemarie, van Furth, Eric, Wade, Tracey, Wagner, Gudrun, Watson, Hunna, Wichmann, H-Erich, Widen, Elisabeth, Woodside, D Blake, Yanovski, Jack, Yao, Shuyang, Zerwas, Stephanie, Zipfel, Stephan, Thornton, Laura, Hinney, Anke, Breen, Gerome, Bulik, Cynthia M, PGC-ED, Grp, ENIGMA Genetics Working, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Kas lab, Clinical Cognitive Neuropsychiatry Research Program (CCNP), Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, and APH - Mental Health
Subjects: 0301 basic medicine, Anorexia Nervosa, Eating Disorders, REWARD CIRCUITRY, Genome-wide association study, ADOLESCENT, PGC-ED, Bioinformatics, Linkage Disequilibrium, 0302 clinical medicine, Anorexia nervosa, Brain structure, Genetic correlation, SCHIZOPHRENIA, ENIGMA Genetics Working Group, 2.1 Biological and endogenous factors, Psychology, Aetiology, Cervell, RISK, ABNORMALITIES, Anorèxia nerviosa, Brain, FUNCTIONAL CONNECTIVITY, Organ Size, Single Nucleotide, Serious Mental Illness, Magnetic Resonance Imaging, 3. Good health, Anorexia, Mental Health, Neurology, Anorexia nervosa (differential diagnoses), Brain size, MENDELIAN RANDOMIZATION, Biomedical Imaging, Cognitive Sciences, RESPONSE-INHIBITION, Neuroscience (miscellaneous), Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, Cellular and Molecular Neuroscience, Mendelian randomization, Journal Article, Genetics, Humans, Genetic Testing, GENOME-WIDE ASSOCIATION, Polymorphism, POLYMORPHISMS, Genetic association, Neurology & Neurosurgery, Prevention, Human Genome, Neurosciences, Mendelian Randomization Analysis, Genetic architecture, Brain Disorders, 030104 developmental biology, Genetic marker, Case-Control Studies, 030217 neurology & neurosurgery, Genètica, Genome-Wide Association Study
Abstract: Molecular neurobiology 56(7), 5146-5156 (2019). doi:10.1007/s12035-018-1439-4, Published by Humana Press, Totowa, NJ
Published: 2019
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39. Integrated analysis of environmental and genetic influences on cord blood DNA methylation in new-borns

Author: Czamara, Darina, Eraslan, Gökçen, Page, Christian M., Lahti, Jari, Lahti-Pulkkinen, Marius, Hämäläinen, Esa, Kajantie, Eero, Laivuori, Hannele, Villa, Pia M., Reynolds, Rebecca M., Nystad, Wenche, Håberg, Siri E., London, Stephanie J., O’Donnell, Kieran J., Garg, Elika, Meaney, Michael J., Entringer, Sonja, Wadhwa, Pathik D., Buss, Claudia, Jones, Meaghan J., Lin, David T. S., MacIsaac, Julie L., Kobor, Michael S., Koen, Nastassja, Zar, Heather J., Koenen, Karestan C., Dalvie, Shareefa, Stein, Dan J., Kondofersky, Ivan, Müller, Nikola S., Theis, Fabian J., Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F. M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T. F., Bigdeli, Tim B., Blackwood, Douglas H. R., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R. I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Kiadeh, Farnush Farhadi Hassan, Finucane, Hilary K., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Krogh, Jesper, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O’Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Pettersson, Erik, Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C. B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E. J. C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A. F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O’Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W. J. H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Räikkönen, Katri, Binder, Elisabeth B., Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics, Epidemiology, Internal Medicine, Child and Adolescent Psychiatry / Psychology, Psychiatry, APH - Mental Health, Human genetics, Amsterdam Reproduction & Development (AR&D), APH - Methodology, APH - Digital Health, Department of Psychology and Logopedics, Helsinki Collegium for Advanced Studies, Faculty of Medicine, Developmental Psychology Research Group, Medicum, HUSLAB, Department of Diagnostics and Therapeutics, HUS Children and Adolescents, Lastentautien yksikkö, Children's Hospital, HUS Gynecology and Obstetrics, Institute for Molecular Medicine Finland, Pregnancy and Genes, Department of Medical and Clinical Genetics, Department of Obstetrics and Gynecology, Helsinki Institute of Life Science HiLIFE, Genomics of Neurological and Neuropsychiatric Disorders, Biological Psychology, APH - Health Behaviors & Chronic Diseases, APH - Personalized Medicine, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Perceptual and Cognitive Neuroscience (PCN), Clinical Cognitive Neuropsychiatry Research Program (CCNP), Adult Psychiatry, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Wray, N.R., Ripke, S., Mattheisen, M., Trzaskowski, M., Byrne, E.M., Abdellaoui, A., Adams, M.J., Agerbo, E., Air, T.M., Andlauer, TFM, Bacanu, S.A., Bækvad-Hansen, M., Beekman, ATF, Bigdeli, T.B., 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., Hall, L.S., Hansen, C.S., Hansen, T.F., Herms, S., Hickie, I.B., Hoffmann, P., Homuth, G., Horn, C., Hottenga, J.J., Hougaard, D.M., Ising, M., Jansen, R., Jorgenson, E., Knowles, J.A., Kohane, I.S., Kraft, J., Kretzschmar, W.W., Krogh, J., Kutalik, Z., Li, Y., Lind, P.A., MacIntyre, D.J., MacKinnon, D.F., Maier, R.M., Maier, W., Marchini, J., Mbarek, H., McGrath, P., McGuffin, P., Medland, S.E., Mehta, D., Middeldorp, C.M., Mihailov, E., Milaneschi, Y., Milani, L., Mondimore, F.M., Montgomery, G.W., Mostafavi, S., Mullins, N., Nauck, M., Ng, B., Nivard, M.G., Nyholt, D.R., O'Reilly, P.F., Oskarsson, H., Owen, M.J., Painter, J.N., Pedersen, C.B., Pedersen, M.G., Peterson, R.E., Pettersson, E., Peyrot, W.J., Pistis, G., Posthuma, D., Quiroz, J.A., Qvist, P., Rice, J.P., Riley, B.P., Rivera, M., Mirza, S.S., Schoevers, R., Schulte, E.C., Shen, L., Shi, J., Shyn, S.I., Sigurdsson, E., Sinnamon, GCB, Smit, J.H., Smith, D.J., Stefansson, H., Steinberg, S., Streit, F., Strohmaier, J., Tansey, K.E., Teismann, H., Teumer, A., Thompson, W., Thomson, P.A., Thorgeirsson, T.E., Traylor, M., Treutlein, J., Trubetskoy, V., Uitterlinden, A.G., Umbricht, D., Van der Auwera, S., van Hemert, A.M., Viktorin, A., Visscher, P.M., Wang, Y., Webb, B.T., Weinsheimer, S.M., Wellmann, J., Willemsen, G., Witt, S.H., Wu, Y., Xi, H.S., Yang, J., Zhang, F., Arolt, V., Baune, B.T., Berger, K., Boomsma, D.I., Cichon, S., Dannlowski, U., de Geus, 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., Breen, G., Børglum, A.D., Sullivan, P.F., Læknadeild (HÍ), Faculty of Medicine (UI), Heilbrigðisvísindasvið (HÍ), School of Health Sciences (UI), Háskóli Íslands, and University of Iceland
Subjects: Male, Epigenomics, 0301 basic medicine, Netherlands Twin Register (NTR), Erfðagreining, General Physics and Astronomy, Genome-wide association study, 02 engineering and technology, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Epigenesis, Genetic, Cohort Studies, PRENATAL STRESS, Pregnancy, Risk Factors, Genamengi, Genotype, 2.1 Biological and endogenous factors, MATERNAL SMOKING, Aetiology, Gene–environment interaction, lcsh:Science, 10. No inequality, Pediatric, RISK, Genetics, DNA methylation, Multidisciplinary, 1184 Genetics, developmental biology, physiology, Methylation, Fetal Blood, 021001 nanoscience & nanotechnology, GENOTYPE, ddc, 3. Good health, PREGNANCY, Nýburar, Female, ddc:500, 0210 nano-technology, BIRTH, Science, IN-UTERO, Biology, CHILDHOOD MALTREATMENT, Article, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, Genetic, MD Multidisciplinary, Humans, Epigenetics, Prevention, Human Genome, NORWEGIAN MOTHER, GENOME-WIDE, Infant, Newborn, Infant, biomarkers, dNaM, DNA, General Chemistry, Newborn, DNA-rannsóknir, 030104 developmental biology, epigenomics, lcsh:Q, Gene-Environment Interaction, 3111 Biomedicine, Biomarkers, Epigenesis
Abstract: Publisher's version (útgefin grein), Epigenetic processes, including DNA methylation (DNAm), are among the mechanisms allowing integration of genetic and environmental factors to shape cellular function. While many studies have investigated either environmental or genetic contributions to DNAm, few have assessed their integrated effects. Here we examine the relative contributions of prenatal environmental factors and genotype on DNA methylation in neonatal blood at variably methylated regions (VMRs) in 4 independent cohorts (overall n = 2365). We use Akaike’s information criterion to test which factors best explain variability of methylation in the cohort-specific VMRs: several prenatal environmental factors (E), genotypes in cis (G), or their additive (G + E) or interaction (GxE) effects. Genetic and environmental factors in combination best explain DNAm at the majority of VMRs. The CpGs best explained by either G, G + E or GxE are functionally distinct. The enrichment of genetic variants from GxE models in GWAS for complex disorders supports their importance for disease risk., We want to thank Susanne Sauer and Maik Ködel for their technical assistance and Jessica Keverne for language editing. We thank all mothers who took part in the on-going PREDO study. We are grateful to all the families in Norway who participate in the on-going MoBa cohort study. We thank the Drakenstein Child Health Study staff, and the clinical and administrative staff of the Western Cape Government Department of Health at Paarl Hospital and at the clinics for support of the Study. We also thank our collaborators and students. Finally, we thank all mothers and children enroled in the Drakenstein Child Health Study. We thank the research participants and employees of 23andMe, Inc. for their contribution to this study. This work was supported by the Academy of Finland (E.K., H.L., K.R., and J.L.); University of Helsinki Research Funds (J.L., M.L.P., and H.L.), British Heart Foundation (RMR); Tommy’s (RMR); European Commission (EK, KR, Horizon 2020 Award SC1–2016-RTD-733280 RECAP); NorFace DIAL (E.K., KR PremLife); Foundation for Pediatric Research (E.K.); Juho Vainio Foundation (E.K.); Novo Nordisk Foundation (E.K.); Signe and Ane Gyllenberg Foundation (E.K., K.R.); Sigrid Jusélius Foundation (E.K.); Finnish Medical Foundation (H.L.); Jane and Aatos Erkko Foundation (H.L.); Päivikki and Sakari Sohlberg Foundation (H.L., P.M.V.); the Clinical Graduate school in Pediatrics and Obstetrics/Gynaecology in University of Helsinki (P.M.V.). The Norwegian Mother and Child Cohort Study is supported by the Norwegian Ministry of Health and Care Services and the Ministry of Education and Research, NIH/NIEHS (contract no N01-ES-75558), NIH/NINDS (grant no.1 UO1 NS 047537–01 and grant no.2 UO1 NS 047537–06A1). For this work, MoBa 1 and 2 were supported by the Intramural Research Program of the NIH, National Institute of Environmental Health Sciences (Z01-ES-49019) and the Norwegian Research Council/BIOBANK (grant no 221097). This work was also partly supported by the Research Council of Norway through its Centres of Excellence funding scheme, project number 262700. The Drakenstein Child Health Study is supported by the Bill and Melinda Gates Foundation (OPP 1017641); with additional support for this work from the Eunice Kennedy Shriver National Institute of Child Health and Human Development of the National Institutes of Health (NICHD) under Award Number R21HD085849; and the Fogarty International Center (FIC). The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Additional support for H.J.Z., D.J.S. and N.K., and for research reported in this publication was by the South African Medical Research Council (SAMRC); N.K. receives support from the SAMRC under a Self-Initiated Research Grant. The views and opinions expressed are those of the authors and do not necessarily represent the official views of the SAMRC. This work was also funded by the German Federal Ministry of Education and Research through the Research Consortium Integrated Network IntegraMent (grant 01ZX1314H) under the auspices of the e:Med Programme (NSM). The UCI cohort was supported by a European Research Area Network (ERA Net) Neuron grant (01EW1407A, CB) and National Institutes of Health grant (R01 HD-060628, CB) as well as NIH grant R01 MH-105538 (PDW). This work was also funded by the Canadian Institute for Advanced Research, Child and Brain Development Program, Toronto, ON, Canada (KJOD).
Published: 2019
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40. Associations between single and multiple cardiometabolic diseases and cognitive abilities in 474 129 UK Biobank participants

Author: Lyall, Donald M., Celis-Morales, Carlos A., Anderson, Jana, Gill, Jason M.R., Mackay, Daniel F., McIntosh, Andrew M., Smith, Daniel J., Deary, Ian J., Sattar, Naveed, and Pell, Jill P.
Subjects: Adult, Male, UK Biobank, Prevention and Epidemiology, Heart Diseases, Coronary artery disease, Cohort Studies, Cognition, Postoperative Complications, Memory, Clinical Research, Diabetes Mellitus, Reaction Time, Humans, Cognitive Dysfunction, Aged, Biological Specimen Banks, Diabetes, Cognitive ability, Middle Aged, United Kingdom, Editor's Choice, Hypertension, Dementia, Female, Cognition Disorders
Abstract: Aims: \ud Cardiometabolic diseases (hypertension, coronary artery disease [CAD] and diabetes are known to associate with poorer cognitive ability but there are limited data on whether having more than one of these conditions is associated with additive effects. We aimed to quantify the magnitude of their associations with non-demented cognitive abilities and determine the extent to which these associations were additive.\ud Methods and results: \ud We examined cognitive test scores in domains of reasoning, information processing speed and memory, included as part of the baseline UK Biobank cohort assessment (N = 474 129 with relevant data), adjusting for a range of potentially confounding variables. The presence of hypertension, CAD and diabetes generally associated with poorer cognitive scores on all tests, compared with a control group that reported none of these diseases. There was evidence of an additive deleterious dose effect of an increasing number of cardiometabolic diseases, for reasoning scores (unstandardized additive dose beta per disease = −0.052 score points out of 13, 95% CI [confidence intervals] −0.063 to − 0.041, P
Published: 2016
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41. Investigating shared aetiology between type 2 diabetes and major depressive disorder in a population based cohort

Author: Clarke, Toni-Kim, Obsteter, Jana, Hall, Lynsey S., Hayward, Caroline, Thomson, Pippa A., Smith, Blair H., Padmanabhan, Sandosh, Hocking, Lynne J., Deary, Ian H., Porteous, David J., and McIntosh, Andrew M.
Subjects: Male, Depressive Disorder, Major, Multifactorial Inheritance, endocrine system diseases, nutritional and metabolic diseases, polygenic, Comorbidity, behavioral disciplines and activities, Polymorphism, Single Nucleotide, Risk Assessment, Cohort Studies, Diabetes Mellitus, Type 2, Scotland, Risk Factors, mental disorders, depression, Humans, genetics, Female, Genetic Predisposition to Disease, type 2 diabetes, Research Articles, Research Article, Genome-Wide Association Study
Abstract: Type II diabetes (T2D) and major depressive disorder (MDD) are often co-morbid. The reasons for this co-morbidity are unclear. Some studies have highlighted the importance of environmental factors and a causal relationship between T2D and MDD has also been postulated. In the present study we set out to investigate the shared aetiology between T2D and MDD using Mendelian randomization in a population based sample, Generation Scotland: the Scottish Family Health Study (N = 21,516). Eleven SNPs found to be associated with T2D were tested for association with MDD and psychological distress (General Health Questionnaire scores). We also assessed causality and genetic overlap between T2D and MDD using polygenic risk scores (PRS) assembled from the largest available GWAS summary statistics to date. No single T2D risk SNP was associated with MDD in the MR analyses and we did not find consistent evidence of genetic overlap between MDD and T2D in the PRS analyses. Linkage disequilibrium score regression analyses supported these findings as no genetic correlation was observed between T2D and MDD (rG = 0.0278 (S.E. 0.11), P-value = 0.79). As suggested by previous studies, T2D and MDD covariance may be better explained by environmental factors. Future studies would benefit from analyses in larger cohorts where stratifying by sex and looking more closely at MDD cases demonstrating metabolic dysregulation is possible. © 2016 The Authors. American Journal of Medical Genetics Part B: Neuropsychiatric Genetics Published by Wiley Periodicals, Inc.
Published: 2016
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42. Prospective longitudinal study of subcortical brain volumes in individuals at high familial risk of mood disorders with or without subsequent onset of depression

Author: Papmeyer, Martina, Sussmann, Jessika E., Stewart, Tiffany, Giles, Stephen, Centola, John G., Zannias, Vasileios, Lawrie, Stephen M., Whalley, Heather C., and McIntosh, Andrew M.
Subjects: Adult, Male, Risk, Depressive Disorder, Major, Bipolar Disorder, Neuroscience (miscellaneous), Brain, 610 Medicine & health, Neuroimaging, Major depressive disorder, Magnetic Resonance Imaging, Article, Psychiatry and Mental health, Young Adult, Radiology Nuclear Medicine and imaging, Humans, Family, Female, Disease Susceptibility, Follow-Up Studies
Abstract: Subcortical volumetric brain abnormalities have been observed in mood disorders. However, it is unknown whether these reflect adverse effects predisposing to mood disorders or emerge at illness onset. Magnetic resonance imaging was conducted at baseline and after two years in 111 initially unaffected young adults at increased risk of mood disorders because of a close family history of bipolar disorder and 93 healthy controls (HC). During the follow-up, 20 high-risk subjects developed major depressive disorder (HR-MDD), with the others remaining well (HR-well). Volumes of the lateral ventricles, caudate, putamen, pallidum, thalamus, hippocampus and amygdala were extracted for each hemisphere. Using linear mixed-effects models, differences and longitudinal changes in subcortical volumes were investigated between groups (HC, HR-MDD, HR-well). There were no significant differences for any subcortical volume between groups controlling for multiple testing. Additionally, no significant differences emerged between groups over time. Our results indicate that volumetric subcortical brain abnormalities of these regions using the current method appear not to form familial trait markers for vulnerability to mood disorders in close relatives of bipolar disorder patients over the two-year time period studied. Moreover, they do not appear to reduce in response to illness onset at least for the time period studied., Highlights • Longitudinal study of subcortical brain volumes in high-risk of mood disorder group. • High-risk subjects developed depression or remained well during two-year follow-up. • The subcortical volumes are not associated with familial risk of mood disorders. • The subcortical volumes do not increase in response to depression onset.
Published: 2016
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43. The Neurobiology of Personal Control During Reward Learning and Its Relationship to Mood

Author: Romaniuk, Liana, Sandu, Anca-Larisa, Waiter, Gordon D., McNeil, Christopher J., Xueyi, Shen, Harris, Matthew A., Macfarlane, Jennifer A., Lawrie, Stephen M., Deary, Ian J., Murray, Alison D., Delgado, Mauricio R., Steele, J. Douglas, McIntosh, Andrew M., and Whalley, Heather C.
Subjects: Male, Brain Mapping, Psychopathology, Depression, Conditioning, Classical, Brain, Locus of causality, Perceived control, Value of choice, Middle Aged, Choice Behavior, Magnetic Resonance Imaging, Article, Imaging, Affect, Neurobiology, Reward, Learning, Humans, Female, Reward learning
Abstract: Background The majority of reward learning neuroimaging studies have not focused on the motivational aspects of behavior, such as the inherent value placed on choice itself. The experience and affective value of personal control may have particular relevance for psychiatric disorders, including depression. Methods We adapted a functional magnetic resonance imaging reward task that probed the value placed on exerting control over one’s decisions, termed choice value, in 122 healthy participants. We examined activation associated with choice value; personally chosen versus passively received rewards; and reinforcement learning metrics, such as prediction error. Relationships were tested between measures of motivational orientation (categorized as autonomy, control, and impersonal) and subclinical depressive symptoms. Results Anticipating personal choice activated left insula, cingulate, right inferior frontal cortex, and ventral striatum (pfamilywise error–corrected < .05). Ventral striatal activations to choice were diminished in participants with subclinical depressive symptoms. Personally chosen rewards were associated with greater activation of the insula and inferior frontal gyrus, cingulate cortex, hippocampus, thalamus, and substantia nigra compared with rewards that were passively received. In participants who felt they had little control over their own behavior (impersonal orientation), prediction error signals in nucleus accumbens were stronger during passive trials. Conclusions Previous findings regarding personal choice have been verified and advanced through the use of both reinforcement learning models and correlations with psychopathology. Personal choice has an impact on the extended reward network, potentially allowing these clinically important areas to be addressed in ways more relevant to personality styles, self-esteem, and symptoms such as motivational anhedonia.
Published: 2018

44. Cortical brain abnormalities in 4474 individuals with schizophrenia and 5098 controls via the ENIGMA consortium

Author: van Erp, Theo GM., Walton, Esther, Hibar, Derrek P., Schmaal, Lianne, Jiang, Wenhao, Glahn, David C., Pearlson, Godfrey D., Yao, Nailin, Fukunaga, Masaki, Hashimoto, Ryota, Okada, Naohiro, Yamamori, Hidenaga, Bustillo, Juan R., Clark, Vincent P., Agartz, Ingrid, Mueller, Bryon A., Cahn, Wiepke, de Zwarte, Sonja MC., Hulshoff Pol, Hilleke E., Kahn, René S., Ophoff, Roel A., van Haren, Neeltje EM., Andreassen, Ole A., Dale, Anders M., Doan, Nhat Trung, Gurholt, Tiril P., Hartberg, Cecilie B., Haukvik, Unn K., Jørgensen, Kjetil N., Lagerberg, Trine V., Melle, Ingrid, Westlye, Lars T., Gruber, Oliver, Kraemer, Bernd, Richter, Anja, Zilles, David, Calhoun, Vince D., Crespo-Facorro, Benedicto, Roiz-Santiañez, Roberto, Tordesillas-Gutiérrez, Diana, Loughland, Carmel, Carr, Vaughan J., Catts, Stanley, Cropley, Vanessa L., Fullerton, Janice M., Green, Melissa J., Henskens, Frans, Jablensky, Assen, Lenroot, Rhoshel K., Mowry, Bryan J., Michie, Patricia T., Pantelis, Christos, Quidé, Yann, Schall, Ulrich, Scott, Rodney J., Cairns, Murray J., Seal, Marc, Tooney, Paul A., Rasser, Paul E., Cooper, Gavin, Weickert, Cynthia Shannon, Weickert, Thomas W., Morris, Derek W., Hong, Elliot, Kochunov, Peter, Beard, Lauren M., Gur, Raquel E., Gur, Ruben C., Satterthwaite, Theodore D., Wolf, Daniel H., Belger, Aysenil, Brown, Gregory G., Ford, Judith M., Macciardi, Fabio, Mathalon, Daniel H., O’Leary, Daniel S., Potkin, Steven G., Preda, Adrian, Voyvodic, James, Lim, Kelvin O., McEwen, Sarah, Yang, Fude, Tan, Yunlong, Tan, Shuping, Wang, Zhiren, Fan, Fengmei, Chen, Jingxu, Xiang, Hong, Tang, Shiyou, Guo, Hua, Wan, Ping, Wei, Dong, Bockholt, Henry J., Ehrlich, Stefan, Wolthusen, Rick PF., King, Margaret D., Shoemaker, Jody M., Sponheim, Scott R., De Haan, Lieuwe, Koenders, Laura, Machielsen, Marise W., van Amelsvoort, Therese, Veltman, Dick J., Assogna, Francesca, Banaj, Nerisa, de Rossi, Pietro, Iorio, Mariangela, Piras, Fabrizio, Spalletta, Gianfranco, McKenna, Peter J., Pomarol-Clotet, Edith, Salvador, Raymond, Corvin, Aiden, Donohoe, Gary, Kelly, Sinead, Whelan, Christopher D., Dickie, Erin W., Rotenberg, David, Voineskos, Aristotle, Ciufolini, Simone, Radua, Joaquim, Dazzan, Paola, Murray, Robin, Marques, Tiago Reis, Simmons, Andrew, Borgwardt, Stefan, Egloff, Laura, Harrisberger, Fabienne, Riecher-Rössler, Anita, Smieskova, Renata, Alpert, Kathryn I., Wang, Lei, Jönsson, Erik G., Koops, Sanne, Sommer, Iris EC., Bertolino, Alessandro, Bonvino, Aurora, Di Giorgio, Annabella, Neilson, Emma, Mayer, Andrew R., Stephen, Julia M., Kwon, Jun Soo, Yun, Je-Yeon, Cannon, Dara M., McDonald, Colm, Lebedeva, Irina, Tomyshev, Alexander S., Akhadov, Tolibjohn, Kaleda, Vasily, Fatouros-Bergman, Helena, Flyckt, Lena, Busatto, Geraldo F., Rosa, Pedro GP., Serpa, Mauricio H., Zanetti, Marcus V., Hoschl, Cyril, Skoch, Antonin, Spaniel, Filip, Tomecek, David, Hagenaars, Saskia P., McIntosh, Andrew M., Whalley, Heather C., Lawrie, Stephen M., Knöchel, Christian, Oertel-Knöchel, Viola, Stäblein, Michael, Howells, Fleur M., Stein, Dan J., Temmingh, Henk, Uhlmann, Anne, Lopez-Jaramillo, Carlos, Dima, Danai, McMahon, Agnes, Faskowitz, Joshua I., Gutman, Boris A., Jahanshad, Neda, Thompson, Paul M., and Turner, Jessica A.
Subjects: Data Aggregation, Schizophrenia, Brain, Humans, Cooperative Behavior, Social Behavior, Article
Abstract: BACKGROUND. The profile of cortical neuroanatomical abnormalities in schizophrenia is not fully understood, despite hundreds of published structural brain imaging studies. This study presents the first meta-analysis of cortical thickness and surface area abnormalities in schizophrenia conducted by the ENIGMA (Enhancing Neuro Imaging Genetics Through Meta Analysis) Schizophrenia Working Group. METHOD. The study included data from 4474 individuals with schizophrenia (mean age=32.3, range: 11–78; 66% male) and 5098 healthy volunteers (mean age=32.8, range: 10–87; 53% male), assessed with standardized methods, at 39 centers worldwide. RESULTS. Compared to healthy volunteers, individuals with schizophrenia have widespread thinner cortex (left/right hemisphere: Cohen’s d=−0.530/−0.516) and smaller surface area (left/right hemisphere: d=−0.251/−0.254), with the largest effect sizes for both in frontal and temporal lobe regions. Regional group differences in cortical thickness remained significant when statistically controlling for global cortical thickness, suggesting regional specificity. In contrast, the effects for cortical surface area appear global. Case-control, negative, cortical thickness effect sizes were 2 to 3 times larger in antipsychotic medicated relative to unmedicated individuals. Negative correlations between age and bilateral temporal pole thickness were stronger in individuals with schizophrenia than in healthy volunteers. Regional cortical thickness showed significant negative correlations with normalized medication dose, symptom severity, and duration of illness, and positive correlations with age at onset. CONCLUSIONS. The findings indicate that the ENIGMA meta-analysis approach can achieve robust findings in clinical neuroscience studies; also, medication effects should be taken into account in future genetic association studies of cortical thickness in schizophrenia.
Published: 2018

45. Parent of origin genetic effects on methylation in humans are common and influence complex trait variation

Author: Zeng, Yanni, Amador, Carmen, Xia, Charley, Marioni, Riccardo, Sproul, Duncan, Walker, Rosie M., Morris, Stewart W., Bretherick, Andrew, Canela-Xandri, Oriol, Boutin, Thibaud S., Clark, David W., Campbell, Archie, Rawlik, Konrad, Hayward, Caroline, Nagy, Reka, Tenesa, Albert, Porteous, David J., Wilson, James F., Deary, Ian J., Evans, Kathryn L., McIntosh, Andrew M., Navarro, Pau, and Haley, Chris S.
Subjects: Adult, Male, Genotype, Science, Quantitative Trait Loci, DNA Methylation, Middle Aged, Polymorphism, Single Nucleotide, Article, Genomic Imprinting, Gene Expression Regulation, Scotland, Humans, lcsh:Q, CpG Islands, Female, lcsh:Science
Abstract: Parent-of-origin effects (POE) exist when there is differential expression of alleles inherited from the two parents. A genome-wide scan for POE on DNA methylation at 639,238 CpGs in 5,101 individuals identifies 733 independent methylation CpGs potentially influenced by POE at a false discovery rate ≤ 0.05 of which 331 had not previously been identified. Cis and trans methylation quantitative trait loci (mQTL) regulate methylation variation through POE at 54% (399/733) of the identified POE-influenced CpGs. The combined results provide strong evidence for previously unidentified POE-influenced CpGs at 171 independent loci. Methylation variation at 14 of the POE-influenced CpGs is associated with multiple metabolic traits. A phenome-wide association analysis using the POE mQTL SNPs identifies a previously unidentified imprinted locus associated with waist circumference. These results provide a high resolution population-level map for POE on DNA methylation sites, their local and distant regulators and potential consequences for complex traits., Parent-of-origin effects (POE) are observed when there are different effects from alleles inherited from the two parents on phenotypic measures. Here, Zeng et al. study POE on DNA methylation in 5,101 individuals and identify genetic variants that associate with methylation variation via POE and their potential phenotypic consequences.
Published: 2018
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46. Genome-wide association study of depression phenotypes in UK Biobank identifies variants in excitatory synaptic pathways

Author: Howard, David M., Adams, Mark J., Shirali, Masoud, Clarke, Toni-Kim, Marioni, Riccardo E., Davies, Gail, Coleman, Jonathan R. I., Alloza, Clara, Shen, Xueyi, Barbu, Miruna C., Wigmore, Eleanor M., Gibson, Jude, Hagenaars, Saskia P., Lewis, Cathryn M., Ward, Joey, Smith, Daniel J., Sullivan, Patrick F., Haley, Chris S., Breen, Gerome, Deary, Ian J., and McIntosh, Andrew M.
Subjects: Synapses/genetics, Depression/genetics, Biomarkers/metabolism, Article, Linkage Disequilibrium, United Kingdom, Cohort Studies, Phenotype, Gene Expression Regulation, Genetic Loci, International Classification of Diseases, Mechanotransduction, Cellular/genetics, Humans, Nerve Tissue Proteins/genetics, Genetic Predisposition to Disease, Synaptic Transmission/genetics, Depressive Disorder, Major/genetics, Biological Specimen Banks, Genome-Wide Association Study
Abstract: Depression is a polygenic trait that causes extensive periods of disability. Previous genetic studies have identified common risk variants which have progressively increased in number with increasing sample sizes of the respective studies. Here, we conduct a genome-wide association study in 322,580 UK Biobank participants for three depression-related phenotypes: broad depression, probable major depressive disorder (MDD), and International Classification of Diseases (ICD, version 9 or 10)-coded MDD. We identify 17 independent loci that are significantly associated (P, The UK Biobank provides data for three depression-related phenotypes. Here, Howard et al. perform a genome-association study for broad depression, probable major depressive disorder (MDD) and hospital record-coded MDD in up to 322,580 UK Biobank participants which highlights excitatory synaptic pathways.
Published: 2018
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47. Genetic Association of Major Depression With Atypical Features and Obesity-Related Immunometabolic Dysregulations

Author: Van Hemert, Albert M., Porteous, David J., O'Donovan, Michael C., McIntosh, Andrew M., Lewis, Glyn, Hayward, Caroline, Traylor, Matthew, Thomson, Pippa A., Tansey, Katherine E., Smith, Daniel J., Owen, Michael J., O'Reilly, Paul F., McGuffin, Peter, Marchini, Jonathan, MacIntyre, Donald J., Kretzschmar, Warren W., Hall, Lynsey S., Gaspar, Helena A., Escott-Price, Valentina, Eley, Thalia C., Deary, Ian J., Davies, Gail, Craddock, Nick, Coleman, Jonathan R.I., Clarke, Toni-Kim, Cai, Na, Blackwood, Douglas H.R., Adams, Mark J., Rivera, Margarita, Mullins, Niamh, Lewis, Cathryn, Kan, Carol, Dehghan, Abbas, Breen, Gerome, Sullivan, Patrick F., Borglum, Anders D., Levinson, Douglas F., Werge, Thomas, Weissman, Myrna M., Volzke, Henry, Uher, Rudolf, Tiemeier, Henning, Stefansson, Kari, Smoller, Jordan W., Schulze, Thomas G., Schaefer, Catherine, Potash, James B., Trubetskoy, Vassily, Treutlein, Jens, Thorgeirsson, Thorgeir E., Thompson, Wesley, Teismann, Henning, Steinberg, Stacy, Stefansson, Hreinn, Smit, Johannes H., Sinnamon, Grant C.B., Sigurdsson, Engilbert, Shyn, Stanley I., Shi, Jianxin, Shen, Ling, Schulte, Eva C., Schoevers, Robert, Mirza, Saira Saeed, Riley, Brien P., Rice, John P., Qvist, Per, Quiroz, Jorge A., Posthuma, Danielle, Pettersson, Erik, Peterson, Roseann E., Pedersen, Marianne Giortz, Pedersen, Carsten Bocker, Painter, Jodie N., Oskarsson, Hogni, Nyholt, Dale R., Nivard, Michel G., Ng, Bernard, Mostafavi, Sara, Montgomery, Grant W., Mondimore, Francis M., Milani, Lili, Mihailov, Evelin, Middeldorp, Christel M., Mehta, Divya, Medland, Sarah E., McGrath, Patrick, Mbarek, Hamdi, Maier, Wolfgang, Maier, Robert M., MacKinnon, Dean F., Lind, Penelope A., Li, Yihan, Kutalik, Zoltan, Krogh, Jesper, Kraft, Julia, Kohane, Isaac S., Knowles, James A., Jorgenson, Eric, Jansen, Rick, Ising, Marcus, Hougaard, David M., Hottenga, Jouke-Jan, Horn, Carsten, Hoffmann, Per, Hickie, Ian B., Herms, Stefan, Hansen, Thomas F., Hansen, Christine Soholm, Grove, Jakob, Gordon, Scott D., Goes, Fernando S., Frank, Josef, Finucane, Hilary K., Kiadeh, Farnush Farhadi Hassan, Dunn, Erin C., Dolan, Conor V., Direk, Nese, Derks, Eske M., Degenhardt, Franziska, Crawford, Gregory E., Couvy-Duchesne, Baptiste, Colodro-Conde, Lucia, Christensen, Jane Hvarregaard, Castelao, Enrique, Bybjerg-Grauholm, Jonas, Buttenschon, Henriette N., Bryois, Julien, Bigdeli, Tim B., Beekman, Aartjan T.F., Bakvad-Hansen, Marie, Bacanu, Silviu-Alin, Andlauer, Till F.M., Air, Tracy M., Agerbo, Esben, Abdellaoui, Abdel, Byrne, Enda M., Mattheisen, Manuel, Ripke, Stephan, Penninx, Brenda W.J.H., Boomsma, Dorret I., Wray, Naomi R., Van Der Auwera, Sandra, Teumer, Alexander, Strohmaier, Jana, Streit, Fabian, Rietschel, Marcella, Preisig, Martin, Pistis, Giorgio, Nauck, Matthias, Homuth, Georg, Grabe, Hans J., Forstner, Andreas J., Baune, Bernhard T., Peyrot, Wouter J., Lamers, Femke, Milaneschi, Yuri, Gill, Michael, Binder, Elisabeth B., Trzaskowski, Maciej, Perlis, Roy H., Pedersen, Nancy L., Paciga, Sara A., Nothen, Markus M., Nordentoft, Merete, Muller-Myhsok, Bertram, Mortensen, Preben Bo, Mors, Ole, Metspalu, Andres, Martin, Nicholas G., Magnusson, Patrik K., Madden, Pamela A.F., Lucae, Susanne, Li, Qingqin S., Kloiber, Stefan, Kendler, Kenneth S., Heath, Andrew C., Hamilton, Steven P., Esko, Tonu, Domschke, Katharina, Domenici, Enrico, DePaulo, J. Raymond, De Geus, E.J.C., Dannlowski, Udo, Cichon, Sven, Arolt, Volker, Zhang, Futao, Yang, Jian, Xi, Hualin S., Wu, Yang, Witt, Stephanie H., Willemsen, Gonneke, Wellmann, Jurgen, Weinsheimer, Shantel Marie, Webb, Bradley T., Wang, Yunpeng, Visscher, Peter M., Viktorin, Alexander, Umbricht, Daniel, Uitterlinden, Andre G., Berger, Klaus, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Mental Health, Psychiatry, APH - Digital Health, Biological Psychology, Clinical Psychology, APH - Methodology, Epidemiology, Urology, Child and Adolescent Psychiatry / Psychology, Internal Medicine, Medical Informatics, and Immunology
Subjects: Netherlands Twin Register (NTR), Adult, Male, medicine.medical_specialty, International Cooperation, Population, Genome-wide association study, Overweight, Weight Gain, behavioral disciplines and activities, Body Mass Index, 03 medical and health sciences, 0302 clinical medicine, SDG 3 - Good Health and Well-being, Internal medicine, mental disorders, medicine, Journal Article, Humans, Genetic Predisposition to Disease, Obesity, Psychiatry, education, Problem Solving, Depression (differential diagnoses), Original Investigation, Craving, Psychiatric Status Rating Scales, education.field_of_study, Depressive Disorder, Major, Odds ratio, medicine.disease, 030227 psychiatry, Multicenter Study, Diagnostic and Statistical Manual of Mental Disorders, Psychiatry and Mental health, C-Reactive Protein, Cohort, Major depressive disorder, Female, medicine.symptom, Psychology, Body mass index, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: © 2017 American Medical Association. All rights reserved.IMPORTANCE The association between major depressive disorder (MDD) and obesitymay stem from shared immunometabolic mechanisms particularly evident in MDD with atypical features, characterized by increased appetite and/or weight (A/W) during an active episode. OBJECTIVE To determine whether subgroups of patients with MDD stratified according to the A/W criterion had a different degree of genetic overlap with obesity-related traits (body mass index [BMI] and levels of C-reactive protein [CRP] and leptin). DESIGN, SETTING, AND PATIENTS This multicenter study assembled genome-wide genotypic and phenotypic measures from 14 data sets of the Psychiatric Genomics Consortium. Data sets were drawn from case-control, cohort, and population-based studies, including 26 628 participants with established psychiatric diagnoses and genome-wide genotype data. Data on BMI were available for 15 237 participants. Data were retrieved and analyzed from September 28, 2015, through May 20, 2017. MAIN OUTCOMES AND MEASURES Lifetime DSM-IV MDDwas diagnosed using structured diagnostic instruments. Patients with MDD were stratified into subgroups according to change in the DSM-IV A/W symptoms as decreased or increased. RESULTS Data included 11 837 participants with MDD and 14 791 control individuals, for a total of 26 628 participants (59.1% female and 40.9%male). Among participants with MDD, 5347 (45.2%) were classified in the decreased A/W and 1871 (15.8%) in the increased A/W subgroups. Common genetic variants explained approximately 10% of the heritability in the 2 subgroups. The increased A/W subgroup showed a strong and positive genetic correlation (SE) with BMI (0.53 [0.15]; P = 6.3 × 10-4), whereas the decreased A/W subgroup showed an inverse correlation (-0.28 [0.14]; P = .06). Furthermore, the decreased A/W subgroup had a higher polygenic risk for increased BMI (odds ratio [OR], 1.18; 95%CI, 1.12-1.25; P = 1.6 × 10-10) and levels of CRP (OR, 1.08; 95%CI, 1.02-1.13; P = 7.3 × 10-3) and leptin (OR, 1.09; 95%CI, 1.06-1.12; P = 1.7 × 10-3). CONCLUSIONS AND RELEVANCE The phenotypic associations between atypical depressive symptoms and obesity-related traits may arise from shared pathophysiologic mechanisms in patients with MDD. Development of treatments effectively targeting immunometabolic dysregulations may benefit patients with depression and obesity, both syndromes with important disability.
Published: 2017
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48. Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants

Author: Nagy, Reka, Boutin, Thibaud S., Marten, Jonathan, Huffman, Jennifer E., Kerr, Shona M., Campbell, Archie, Evenden, Louise, Gibson, Jude, Amador, Carmen, Howard, David M., Navarro, Pau, Morris, Andrew, Deary, Ian J., Hocking, Lynne J., Padmanabhan, Sandosh, Smith, Blair H., Joshi, Peter, Wilson, James F., Hastie, Nicholas D., Wright, Alan F., McIntosh, Andrew M., Porteous, David J., Haley, Chris S., Vitart, Veronique, and Hayward, Caroline
Subjects: Blood Glucose, Male, Heart rate, Quantitative trait, Polymorphism, Single Nucleotide, White People, Haplotype Research Consortium (HRC), Quantitative Trait, Heritable, Genetics, Journal Article, Humans, Electronic health records, Genetics(clinical), Prospective Studies, Genome-wide association studies (GWAS), Urate, Molecular Biology, Imputation, Research, Fasting, Uric Acid, Cross-Sectional Studies, Glucose, Genes, Haplotypes, Scotland, Molecular Medicine, Female, Genome-Wide Association Study
Abstract: Background The Generation Scotland: Scottish Family Health Study (GS:SFHS) is a family-based population cohort with DNA, biological samples, socio-demographic, psychological and clinical data from approximately 24,000 adult volunteers across Scotland. Although data collection was cross-sectional, GS:SFHS became a prospective cohort due to of the ability to link to routine Electronic Health Record (EHR) data. Over 20,000 participants were selected for genotyping using a large genome-wide array. Methods GS:SFHS was analysed using genome-wide association studies (GWAS) to test the effects of a large spectrum of variants, imputed using the Haplotype Research Consortium (HRC) dataset, on medically relevant traits measured directly or obtained from EHRs. The HRC dataset is the largest available haplotype reference panel for imputation of variants in populations of European ancestry and allows investigation of variants with low minor allele frequencies within the entire GS:SFHS genotyped cohort. Results Genome-wide associations were run on 20,032 individuals using both genotyped and HRC imputed data. We present results for a range of well-studied quantitative traits obtained from clinic visits and for serum urate measures obtained from data linkage to EHRs collected by the Scottish National Health Service. Results replicated known associations and additionally reveal novel findings, mainly with rare variants, validating the use of the HRC imputation panel. For example, we identified two new associations with fasting glucose at variants near to Y_RNA and WDR4 and four new associations with heart rate at SNPs within CSMD1 and ASPH, upstream of HTR1F and between PROKR2 and GPCPD1. All were driven by rare variants (minor allele frequencies in the range of 0.08–1%). Proof of principle for use of EHRs was verification of the highly significant association of urate levels with the well-established urate transporter SLC2A9. Conclusions GS:SFHS provides genetic data on over 20,000 participants alongside a range of phenotypes as well as linkage to National Health Service laboratory and clinical records. We have shown that the combination of deeper genotype imputation and extended phenotype availability make GS:SFHS an attractive resource to carry out association studies to gain insight into the genetic architecture of complex traits. Electronic supplementary material The online version of this article (doi:10.1186/s13073-017-0414-4) contains supplementary material, which is available to authorized users.
Published: 2017
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49. Genome-wide association for major depression through age at onset stratification: major depressive disorder working group of the psychiatric genomics consortium

Author: Power, Robert A., Tansey, Katherine E., Buttenschøn, Henriette Nørmølle, Cohen-Woods, Sarah, Bigdeli, Tim, Hall, Lynsey S., Kutalik, Zoltán, Lee, S. Hong, Ripke, Stephan, Steinberg, Stacy, Teumer, Alexander, Viktorin, Alexander, Wray, Naomi R., Arolt, Volker, Baune, Bernard T., Boomsma, Dorret I., Børglum, Anders D., Byrne, Enda M., Castelao, Enrique, Craddock, Nick, Craig, Ian W., Dannlowski, Udo, Deary, Ian J., Degenhardt, Franziska, Forstner, Andreas J., Gordon, Scott D., Grabe, Hans J., Grove, Jakob, Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Hocking, Lynne J., Homuth, Georg, Hottenga, Jouke J., Kloiber, Stefan, Krogh, Jesper, Landén, Mikael, Lang, Maren, Levinson, Douglas F., Lichtenstein, Paul, Lucae, Susanne, MacIntyre, Donald J., Madden, Pamela, Magnusson, Patrik K.E., Martin, Nicholas G., McIntosh, Andrew M., Middeldorp, Christel M., Milaneschi, Yuri, Montgomery, Grant W., Mors, Ole, Müller-Myhsok, Bertram, Nyholt, Dale R., Oskarsson, Hogni, Owen, Michael J., Padmanabhan, Sandosh, Penninx, Brenda W.J.H, Pergadia, Michele L., Porteous, David J., Potash, James B., Preisig, Martin, Rivera, Margarita, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Smit, Johannes H., Smith, Blair H., Stefansson, Hreinn, Stefansson, Kari, Strohmaier, Jana, Sullivan, Patrick F., Thomson, Pippa, Thorgeirsson, Thorgeir E., Van der Auwera, Sandra, Weissman, Myrna M., Breen, Gerome, Lewis, Cathryn M., and CONVERGE Consortium, CARDIoGRAM Consortium, GERAD1 Consortium
Subjects: Adult, Male, Polygenic scoring, Depressive Disorder, Major, Multifactorial Inheritance, Bipolar Disorder, Age at onset, Major depressive disorder, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Young Adult, Phenotype, Risk Factors, Case-Control Studies, mental disorders, Schizophrenia, GWAS, Humans, Female, Genetic Predisposition to Disease, Heterogeneity, Stratification, Age of Onset, Biological Psychiatry, Genome-Wide Association Study
Abstract: Background: \ud \ud Major depressive disorder (MDD) is a disabling mood disorder, and despite a known heritable component, a large meta-analysis of genome-wide association studies revealed no replicable genetic risk variants. Given prior evidence of heterogeneity by age at onset in MDD, we tested whether genome-wide significant risk variants for MDD could be identified in cases subdivided by age at onset.\ud \ud Methods: \ud \ud Discovery case-control genome-wide association studies were performed where cases were stratified using increasing/decreasing age-at-onset cutoffs; significant single nucleotide polymorphisms were tested in nine independent replication samples, giving a total sample of 22,158 cases and 133,749 control subjects for subsetting. Polygenic score analysis was used to examine whether differences in shared genetic risk exists between earlier and adult-onset MDD with commonly comorbid disorders of schizophrenia, bipolar disorder, Alzheimer’s disease, and coronary artery disease.\ud \ud Results: \ud \ud We identified one replicated genome-wide significant locus associated with adult-onset (>27 years) MDD (rs7647854, odds ratio: 1.16, 95% confidence interval: 1.11–1.21, p = 5.2 × 10-11). Using polygenic score analyses, we show that earlier-onset MDD is genetically more similar to schizophrenia and bipolar disorder than adult-onset MDD.\ud \ud Conclusions: \ud \ud We demonstrate that using additional phenotype data previously collected by genetic studies to tackle phenotypic heterogeneity in MDD can successfully lead to the discovery of genetic risk factor despite reduced sample size. Furthermore, our results suggest that the genetic susceptibility to MDD differs between adult- and earlier-onset MDD, with earlier-onset cases having a greater genetic overlap with schizophrenia and bipolar disorder.
Published: 2017

50. Genome-wide association for major depression through age at onset stratification: Major depressive disorder working group of the Psychiatric Genomics Consortium

Author: Power, Robert A, Tansey, Katherine E, Buttenschøn, Henriette Nørmølle, Cohen-Woods, Sarah, Bigdeli, Tim, Hall, Lynsey S, Kutalik, Zoltán, Lee, S Hong, Ripke, Stephan, Steinberg, Stacy, Teumer, Alexander, Viktorin, Alexander, Wray, Naomi R, Arolt, Volker, Baune, Bernard T, Boomsma, Dorret I, Børglum, Anders D, Byrne, Enda M, Castelao, Enrique, Craddock, Nick, Craig, Ian W, Dannlowski, Udo, Deary, Ian J, Degenhardt, Franziska, Forstner, Andreas J, Gordon, Scott D, Grabe, Hans J, Grove, Jakob, Hamilton, Steven P, Hayward, Caroline, Heath, Andrew C, Hocking, Lynne J, Homuth, Georg, Hottenga, Jouke J, Kloiber, Stefan, Krogh, Jesper, Landén, Mikael, Lang, Maren, Levinson, Douglas F, Lichtenstein, Paul, Lucae, Susanne, MacIntyre, Donald J, Madden, Pamela, Magnusson, Patrik K E, Martin, Nicholas G, McIntosh, Andrew M, Middeldorp, Christel M, Milaneschi, Yuri, Montgomery, Grant W, Mors, Ole, Müller-Myhsok, Bertram, Nyholt, Dale R, Oskarsson, Hogni, Owen, Michael J, Padmanabhan, Sandosh, Penninx, Brenda W J H, Pergadia, Michele L, Porteous, David J, Potash, James B, Preisig, Martin, Rivera, Margarita, Shi, Jianxin, Shyn, Stanley I, Sigurdsson, Engilbert, Smit, Johannes H, Smith, Blair H, Stefansson, Hreinn, Stefansson, Kari, Strohmaier, Jana, Sullivan, Patrick F, Thomson, Pippa, Thorgeirsson, Thorgeir E, Van der Auwera, Sandra, Weissman, Myrna M, CONVERGE Consortium, CARDIoGRAM Consortium, GERAD1 Consortium, Breen, Gerome, and Lewis, Cathryn M
Subjects: Adult, Male, Polygenic scoring, Depressive Disorder, Major, Multifactorial Inheritance, Bipolar Disorder, Age at onset, Major depressive disorder, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Young Adult, Phenotype, Risk Factors, Case-Control Studies, mental disorders, Schizophrenia, Age At Onset, Gwas, Heterogeneity, Major Depressive Disorder, Polygenic Scoring, Stratification, GWAS, Humans, Female, Genetic Predisposition to Disease, Age of Onset, Genome-Wide Association Study
Abstract: BACKGROUND: Major depressive disorder (MDD) is a disabling mood disorder, and despite a known heritable component, a large meta-analysis of genome-wide association studies revealed no replicable genetic risk variants. Given prior evidence of heterogeneity by age at onset in MDD, we tested whether genome-wide significant risk variants for MDD could be identified in cases subdivided by age at onset. METHODS: Discovery case-control genome-wide association studies were performed where cases were stratified using increasing/decreasing age-at-onset cutoffs; significant single nucleotide polymorphisms were tested in nine independent replication samples, giving a total sample of 22,158 cases and 133,749 control subjects for subsetting. Polygenic score analysis was used to examine whether differences in shared genetic risk exists between earlier and adult-onset MDD with commonly comorbid disorders of schizophrenia, bipolar disorder, Alzheimer's disease, and coronary artery disease. RESULTS: We identified one replicated genome-wide significant locus associated with adult-onset (>27 years) MDD (rs7647854, odds ratio: 1.16, 95% confidence interval: 1.11-1.21, p = 5.2 x 10(-11)). Using polygenic score analyses, we show that earlier-onset MDD is genetically more similar to schizophrenia and bipolar disorder than adult-onset MDD. CONCLUSIONS: We demonstrate that using additional phenotype data previously collected by genetic studies to tackle phenotypic heterogeneity in MDD can successfully lead to the discovery of genetic risk factor despite reduced sample size. Furthermore, our results suggest that the genetic susceptibility to MDD differs between adult-and earlier-onset MDD, with earlier-onset cases having a greater genetic overlap with schizophrenia and bipolar disorder.
Published: 2017

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