Search

Your search keyword '"Loughland, Carmel"' showing total 8 results
Start Over Author "Loughland, Carmel" Topic female
8 results on '"Loughland, Carmel"'

1. Connectome architecture shapes large-scale cortical alterations in schizophrenia: a worldwide ENIGMA study.

Author

Georgiadis, Foivos, Larivière, Sara, Glahn, David, Hong, L, Kochunov, Peter, Mowry, Bryan, Loughland, Carmel, Pantelis, Christos, Henskens, Frans, Green, Melissa, Cairns, Murray, Michie, Patricia, Rasser, Paul, Catts, Stanley, Tooney, Paul, Scott, Rodney, Schall, Ulrich, Carr, Vaughan, Quidé, Yann, Krug, Axel, Stein, Frederike, Nenadić, Igor, Brosch, Katharina, Kircher, Tilo, Gur, Raquel, Gur, Ruben, Satterthwaite, Theodore, Karuk, Andriana, Pomarol-Clotet, Edith, Radua, Joaquim, Fuentes-Claramonte, Paola, Salvador, Raymond, Spalletta, Gianfranco, Voineskos, Aristotle, Sim, Kang, Crespo-Facorro, Benedicto, Tordesillas Gutiérrez, Diana, Ehrlich, Stefan, Crossley, Nicolas, Grotegerd, Dominik, Repple, Jonathan, Lencer, Rebekka, Dannlowski, Udo, Calhoun, Vince, Rootes-Murdy, Kelly, Demro, Caroline, Ramsay, Ian, Sponheim, Scott, Schmidt, Andre, Borgwardt, Stefan, Tomyshev, Alexander, Lebedeva, Irina, Höschl, Cyril, Spaniel, Filip, Preda, Adrian, Nguyen, Dana, Uhlmann, Anne, Stein, Dan, Howells, Fleur, Temmingh, Henk, Diaz Zuluaga, Ana, López Jaramillo, Carlos, Iasevoli, Felice, Ji, Ellen, Homan, Stephanie, Omlor, Wolfgang, Homan, Philipp, Kaiser, Stefan, Seifritz, Erich, Misic, Bratislav, Valk, Sofie, Thompson, Paul, Van Erp, Theodorus, Turner, Jessica, Bernhardt, Boris, and Kirschner, Matthias

Subjects
Humans, Schizophrenia, Connectome, Adult, Female, Male, Magnetic Resonance Imaging, Cerebral Cortex, Nerve Net, Brain, Middle Aged, Neural Pathways, Young Adult
Abstract

Schizophrenia is a prototypical network disorder with widespread brain-morphological alterations, yet it remains unclear whether these distributed alterations robustly reflect the underlying network layout. We tested whether large-scale structural alterations in schizophrenia relate to normative structural and functional connectome architecture, and systematically evaluated robustness and generalizability of these network-level alterations. Leveraging anatomical MRI scans from 2439 adults with schizophrenia and 2867 healthy controls from 26 ENIGMA sites and normative data from the Human Connectome Project (n = 207), we evaluated structural alterations of schizophrenia against two network susceptibility models: (i) hub vulnerability, which examines associations between regional network centrality and magnitude of disease-related alterations; (ii) epicenter mapping, which identifies regions whose typical connectivity profile most closely resembles the disease-related morphological alterations. To assess generalizability and specificity, we contextualized the influence of site, disease stages, and individual clinical factors and compared network associations of schizophrenia with that found in affective disorders. Our findings show schizophrenia-related cortical thinning is spatially associated with functional and structural hubs, suggesting that highly interconnected regions are more vulnerable to morphological alterations. Predominantly temporo-paralimbic and frontal regions emerged as epicenters with connectivity profiles linked to schizophrenias alteration patterns. Findings were robust across sites, disease stages, and related to individual symptoms. Moreover, transdiagnostic comparisons revealed overlapping epicenters in schizophrenia and bipolar, but not major depressive disorder, suggestive of a pathophysiological continuity within the schizophrenia-bipolar-spectrum. In sum, cortical alterations over the course of schizophrenia robustly follow brain network architecture, emphasizing marked hub susceptibility and temporo-frontal epicenters at both the level of the group and the individual. Subtle variations of epicenters across disease stages suggest interacting pathological processes, while associations with patient-specific symptoms support additional inter-individual variability of hub vulnerability and epicenters in schizophrenia. Our work outlines potential pathways to better understand macroscale structural alterations, and inter- individual variability in schizophrenia.

Published
2024

2. 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

3. Increased power by harmonizing structural MRI site differences with the ComBat batch adjustment method in ENIGMA

Author

Radua, Joaquim, Vieta, Eduard, Shinohara, Russell, Kochunov, Peter, Quidé, Yann, Green, Melissa J, Weickert, Cynthia S, Weickert, Thomas, Bruggemann, Jason, Kircher, Tilo, Nenadić, Igor, Cairns, Murray J, Seal, Marc, Schall, Ulrich, Henskens, Frans, Fullerton, Janice M, Mowry, Bryan, Pantelis, Christos, Lenroot, Rhoshel, Cropley, Vanessa, Loughland, Carmel, Scott, Rodney, Wolf, Daniel, Satterthwaite, Theodore D, Tan, Yunlong, Sim, Kang, Piras, Fabrizio, Spalletta, Gianfranco, Banaj, Nerisa, Pomarol-Clotet, Edith, Solanes, Aleix, Albajes-Eizagirre, Anton, Canales-Rodríguez, Erick J, Sarro, Salvador, Di Giorgio, Annabella, Bertolino, Alessandro, Stäblein, Michael, Oertel, Viola, Knöchel, Christian, Borgwardt, Stefan, du Plessis, Stefan, Yun, Je-Yeon, Kwon, Jun Soo, Dannlowski, Udo, Hahn, Tim, Grotegerd, Dominik, Alloza, Clara, Arango, Celso, Janssen, Joost, Díaz-Caneja, Covadonga, Jiang, Wenhao, Calhoun, Vince, Ehrlich, Stefan, Yang, Kun, Cascella, Nicola G, Takayanagi, Yoichiro, Sawa, Akira, Tomyshev, Alexander, Lebedeva, Irina, Kaleda, Vasily, Kirschner, Matthias, Hoschl, Cyril, Tomecek, David, Skoch, Antonin, van Amelsvoort, Therese, Bakker, Geor, James, Anthony, Preda, Adrian, Weideman, Andrea, Stein, Dan J, Howells, Fleur, Uhlmann, Anne, Temmingh, Henk, López-Jaramillo, Carlos, Díaz-Zuluaga, Ana, Fortea, Lydia, Martinez-Heras, Eloy, Solana, Elisabeth, Llufriu, Sara, Jahanshad, Neda, Thompson, Paul, Turner, Jessica, van Erp, Theo, collaborators, ENIGMA Consortium, Glahn, David, Pearlson, Godfrey, Hong, Elliot, Krug, Axel, Carr, Vaughan, Tooney, Paul, Cooper, Gavin, Rasser, Paul, Michie, Patricia, Catts, Stanley, Gur, Raquel, Gur, Ruben, Yang, Fude, Fan, Fengmei, Chen, Jingxu, and Guo, Hua

Subjects
Brain Disorders, Biomedical Imaging, Mental Health, Schizophrenia, Neurosciences, Mental health, Adult, Algorithms, Cerebral Cortex, Female, Humans, Image Processing, Computer-Assisted, Magnetic Resonance Imaging, Male, Meta-Analysis as Topic, Middle Aged, Neuroimaging, Young Adult, Brain, Cortical thickness, Gray matter, Mega-analysis, Volume, ENIGMA Consortium collaborators, Medical and Health Sciences, Psychology and Cognitive Sciences, Neurology & Neurosurgery
Abstract

A common limitation of neuroimaging studies is their small sample sizes. To overcome this hurdle, the Enhancing Neuro Imaging Genetics through Meta-Analysis (ENIGMA) Consortium combines neuroimaging data from many institutions worldwide. However, this introduces heterogeneity due to different scanning devices and sequences. ENIGMA projects commonly address this heterogeneity with random-effects meta-analysis or mixed-effects mega-analysis. Here we tested whether the batch adjustment method, ComBat, can further reduce site-related heterogeneity and thus increase statistical power. We conducted random-effects meta-analyses, mixed-effects mega-analyses and ComBat mega-analyses to compare cortical thickness, surface area and subcortical volumes between 2897 individuals with a diagnosis of schizophrenia and 3141 healthy controls from 33 sites. Specifically, we compared the imaging data between individuals with schizophrenia and healthy controls, covarying for age and sex. The use of ComBat substantially increased the statistical significance of the findings as compared to random-effects meta-analyses. The findings were more similar when comparing ComBat with mixed-effects mega-analysis, although ComBat still slightly increased the statistical significance. ComBat also showed increased statistical power when we repeated the analyses with fewer sites. Results were nearly identical when we applied the ComBat harmonization separately for cortical thickness, cortical surface area and subcortical volumes. Therefore, we recommend applying the ComBat function to attenuate potential effects of site in ENIGMA projects and other multi-site structural imaging work. We provide easy-to-use functions in R that work even if imaging data are partially missing in some brain regions, and they can be trained with one data set and then applied to another (a requirement for some analyses such as machine learning).

Published
2020

4. Cortical Brain Abnormalities in 4474 Individuals With Schizophrenia and 5098 Control Subjects via the Enhancing Neuro Imaging Genetics Through Meta Analysis (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 A, 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, Shannon Weickert, Cynthia, 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, and Koenders, Laura

Subjects
Karolinska Schizophrenia Project, Brain, Frontal Lobe, Prefrontal Cortex, Temporal Lobe, Humans, Magnetic Resonance Imaging, Severity of Illness Index, Linear Models, Case-Control Studies, Schizophrenia, Age of Onset, Adolescent, Adult, Aged, Middle Aged, Child, Female, Male, Young Adult, Neuroimaging, Cortical, Imaging, Meta-analysis, Surface area, Thickness, Serious Mental Illness, Biomedical Imaging, Mental Health, Clinical Research, Neurosciences, Brain Disorders, Mental health, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract

BackgroundThe 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.MethodsThe study included data from 4474 individuals with schizophrenia (mean age, 32.3 years; range, 11-78 years; 66% male) and 5098 healthy volunteers (mean age, 32.8 years; range, 10-87 years; 53% male) assessed with standardized methods at 39 centers worldwide.ResultsCompared with 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: Cohen's 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, effects for cortical surface area appear global. Case-control, negative, cortical thickness effect sizes were two to three times larger in individuals receiving antipsychotic medication 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.ConclusionsThe 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

5. 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

6. 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
Full Text
View/download PDF

7. 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
Full Text
View/download PDF

8. No Reliable Association between Runs of Homozygosity and Schizophrenia in a Well-Powered Replication Study

Author

Johnson, Emma C., Bjelland, Douglas W., Howrigan, Daniel P., Abdellaoui, Abdel, Breen, Gerome, Borglum, Anders, Cichon, Sven, Degenhardt, Franziska, Forstner, Andreas J., Frank, Josef, Genovese, Giulio, Heilmann-Heimbach, Stefanie, Herms, Stefan, Hoffman, Per, Maier, Wolfgang, Mattheisen, Manuel, Morris, Derek, Mowry, Bryan, Müller-Mhysok, Betram, Neale, Benjamin, Nenadic, Igor, Nöthen, Markus M., O’Dushlaine, Colm, Rietschel, Marcella, Ruderfer, Douglas M., Rujescu, Dan, Schulze, Thomas G., Simonson, Matthew A., Stahl, Eli, Strohmaier, Jana, Witt, Stephanie H., Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T R, Farh, Kai How, Holmans, Peter A., Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A., Huang, Hailiang, Pers, Tune H., Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, 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., 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 C K, Chen, Ronald Y L, Chen, Eric Y H, Cheng, Wei, Cheung, Eric F C, Chong, Siow Ann, Robert Cloninger, C., Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J., Curtis, David, Davidson, Michael, Davis, Kenneth L., Del Favero, Jurgen, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H., Farrell, Martilias S., Franke, Lude, Freedman, Robert, Freimer, Nelson B., Friedl, Marion, Friedman, Joseph I., Fromer, Menachem, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L., Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M., Henskens, Frans A., Hirschhorn, Joel N., Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V., Hougaard, David M., Ikeda, Masashi, Joa, Inge, Julià, Antonio, Kahn, René S., Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Kennedy, James L., Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Knowles, James A., Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K., Laurent, Claudine, Chee Keong, Jimmy Lee, Hong Lee, S., Legge, Sophie E., Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M., Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Magnusson, Patrik K E, Maher, Brion S., 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., Mors, Ole, Murphy, Kieran C., Murray, Robin M., Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nertney, Deborah A., Nestadt, Gerald, Nicodemus, Kristin K., Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, Anthony O'Neill, F., 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., Pietiläinen, 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., Roussos, Panos, Salomaa, Veikko, Sanders, Alan R., Schall, Ulrich, Schubert, Christian R., 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 C A, Stahl, Eli A., Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E., Strengman, Eric, Scott Stroup, T., Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M., Szatkiewicz, Jin P., Söderman, 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, Wolen, Aaron R., Wong, Emily H M, 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 H R, Bramon, Elvira, Buxbaum, Joseph D., Børglum, Anders D., Darvasi, Ariel, Domenici, Enrico, 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., 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., Ophoff, Roel A., Owen, Michael J., Palotie, Aarno, Pato, Carlos N., Petryshen, Tracey L., Posthuma, Danielle, Riley, Brien P., Sham, Pak C., Sklar, Pamela, Clair, David S., Weinberger, Daniel R., Wendland, Jens R., Werge, Thomas, Daly, Mark J., O'Donovan, Michael C., Sullivan, Patrick F., Keller, Matthew C., Biological Psychology, Johnson, Emma C, Bjelland, Douglas W, Howrigan, Daniel P, Abdellaoui, Abdel, Lee, S Hong, Keller, Matthew C, and Schizophrenia Working Group of the Psychiatric Genomics Consortium

Subjects
0301 basic medicine, Male, Cancer Research, Heredity, Ecology, Evolution, Behavior and Systematics, Molecular Biology, Genetics, Genetics (clinical), Social Sciences, Genome-wide association study, Disease, 030105 genetics & heredity, Runs of Homozygosity, Homozygosity, Consanguinity, Sociology, Polymorphism (computer science), Consortia, Medicine and Health Sciences, Genetics(clinical), Inbreeding, Ecology, Depression, Homozygote, Genomics, 3. Good health, Schizophrenia, Research Design, Physical Sciences, Female, Statistics (Mathematics), Research Article, lcsh:QH426-470, Evolution, Replication Studies, inbreeding, Single-nucleotide polymorphism, Biology, Genome Complexity, Research and Analysis Methods, Polymorphism, Single Nucleotide, 03 medical and health sciences, SDG 17 - Partnerships for the Goals, Behavior and Systematics, SDG 3 - Good Health and Well-being, Mental Health and Psychiatry, medicine, Confidence Intervals, Humans, replication study, Mood Disorders, Genome, Human, Biology and Life Sciences, Computational Biology, medicine.disease, schizophrenia, lcsh:Genetics, 030104 developmental biology, homozygosity, Mathematics, Genome-Wide Association Study
Abstract

It is well known that inbreeding increases the risk of recessive monogenic diseases, but it is less certain whether it contributes to the etiology of complex diseases such as schizophrenia. One way to estimate the effects of inbreeding is to examine the association between disease diagnosis and genome-wide autozygosity estimated using runs of homozygosity (ROH) in genome-wide single nucleotide polymorphism arrays. Using data for schizophrenia from the Psychiatric Genomics Consortium (n = 21,868), Keller et al. (2012) estimated that the odds of developing schizophrenia increased by approximately 17% for every additional percent of the genome that is autozygous (β = 16.1, CI(β) = [6.93, 25.7], Z = 3.44, p = 0.0006). Here we describe replication results from 22 independent schizophrenia case-control datasets from the Psychiatric Genomics Consortium (n = 39,830). Using the same ROH calling thresholds and procedures as Keller et al. (2012), we were unable to replicate the significant association between ROH burden and schizophrenia in the independent PGC phase II data, although the effect was in the predicted direction, and the combined (original + replication) dataset yielded an attenuated but significant relationship between Froh and schizophrenia (β = 4.86,CI(β) = [0.90,8.83],Z = 2.40,p = 0.02). Since Keller et al. (2012), several studies reported inconsistent association of ROH burden with complex traits, particularly in case-control data. These conflicting results might suggest that the effects of autozygosity are confounded by various factors, such as socioeconomic status, education, urbanicity, and religiosity, which may be associated with both real inbreeding and the outcome measures of interest., Author Summary It is well known that mating between relatives increases the risk that a child will have a rare recessive genetic disease, but there has also been increasing interest and inconsistent findings on whether inbreeding is a risk factor for common, complex psychiatric disorders such as schizophrenia. The best powered study to date investigating this theory predicted that the odds of developing schizophrenia increase by approximately 17% for every additional percent of the genome that shows evidence of inbreeding. In this replication, we used genome-wide single nucleotide polymorphism data from 18,562 schizophrenia cases and 21,268 controls to quantify the degree to which they were inbred and to test the hypothesis that schizophrenia cases show higher mean levels of inbreeding. Contrary to the original study, we did not find evidence for distant inbreeding to play a role in schizophrenia risk. There are various confounding factors that could explain the discrepancy in results from the original study and our replication, and this should serve as a cautionary note–careful attention should be paid to issues like ascertainment when using the data from genome-wide case-control association studies for secondary analyses for which the data may not have originally been intended.

Published
2016
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results