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1. Upregulation of the Renin–Angiotensin System Is Associated with Patient Survival and the Tumour Microenvironment in Glioblastoma

Author: Mathew Lozinski, Eugenie R. Lumbers, Nikola A. Bowden, Jennifer H. Martin, Michael F. Fay, Kirsty G. Pringle, and Paul A. Tooney
Subjects: glioblastoma, prorenin, angiotensinogen, hypoxia, chemoradiation, Cytology, QH573-671
Abstract: Glioblastoma is a highly aggressive disease with poor survival outcomes. An emerging body of literature links the role of the renin–angiotensin system (RAS), well-known for its function in the cardiovascular system, to the progression of cancers. We studied the expression of RAS-related genes (ATP6AP2, AGTR1, AGTR2, ACE, AGT, and REN) in The Cancer Genome Atlas (TCGA) glioblastoma cohort, their relationship to patient survival, and association with tumour microenvironment pathways. The expression of RAS genes was then examined in 12 patient-derived glioblastoma cell lines treated with chemoradiation. In cases of glioblastoma within the TCGA, ATP6AP2, AGTR1, ACE, and AGT had consistent expressions across samples, while AGTR2 and REN were lowly expressed. High expression of AGTR1 was independently associated with lower progression-free survival (PFS) (p = 0.01) and had a non-significant trend for overall survival (OS) after multivariate analysis (p = 0.095). The combined expression of RAS receptors (ATP6AP2, AGTR1, and AGTR2) was positively associated with gene pathways involved in hypoxia, microvasculature, stem cell plasticity, and the molecular characterisation of glioblastoma subtypes. In patient-derived glioblastoma cell lines, ATP6AP2 and AGTR1 were upregulated after chemoradiotherapy and correlated with an increase in HIF1A expression. This data suggests the RAS is correlated with changes in the tumour microenvironment and associated with glioblastoma survival outcomes.
Published: 2024
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2. Characteristics of vasculogenic mimicry and tumour to endothelial transdifferentiation in human glioblastoma: a systematic review

Author: Kelsey Maddison, Nikola A. Bowden, Moira C. Graves, and Paul A. Tooney
Subjects: Glioblastoma, Vasculogenic mimicry, Transdifferentiation, Tumour-derived vasculature, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
Abstract: Abstract Background Glioblastoma, the most common primary malignant brain tumour in adults, is a highly vascular tumour characterised by abnormal angiogenesis. Additional mechanisms of tumour vascularisation have also been reported in glioblastoma, including the formation of tumour cell-derived vessels by vasculogenic mimicry (VM) or the transdifferentiation of tumour cells to endothelial cells. VM and endothelial transdifferentiation have frequently been reported as distinct processes, however, the use of both terms to describe a single process of vascularisation also occurs. Some overlapping characteristics have also been reported when identifying each process. We therefore aimed to determine the markers consistently attributed to VM and endothelial transdifferentiation in the glioblastoma literature. Methods Ovid MEDLINE and Ovid Embase were searched for studies published between January 1999 and July 2021 that assessed VM or tumour to endothelial transdifferentiation in human glioblastoma. The online systematic review tool Covidence was used for screening and data extraction. Extracted data included type of tumour-derived vasculature reported, methods and techniques used, and markers investigated. Studies were grouped based on type of vasculature reported for further assessment. Results One hundred and thirteen of the 419 unique records identified were included for analysis. VM was reported in 64/113 studies, while tumour to endothelial transdifferentiation was reported in 16/113 studies. The remaining studies used both terms to describe a single process, did not define the process that occurred, or concluded that neither VM nor endothelial transdifferentiation occurred. Absence of CD34 and/or CD31 in vascular structures was the most common indicator of VM, while expression of CD34 and/or CD31, in addition to various other endothelial, stem cell or tumour cell markers, indicated tumour to endothelial transdifferentiation. Conclusion Cells derived from tumour to endothelial transdifferentiation express typical endothelial markers including CD34 and CD31, while tumour cells contributing to VM lack CD34 and CD31 expression. Additional tumour markers are required to identify transdifferentiation in glioblastoma tissue, and this process requires further characterisation.
Published: 2023
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3. Schizophrenia-associated MicroRNA–Gene Interactions in the Dorsolateral Prefrontal Cortex

Author: Danielle M. Santarelli, Adam P. Carroll, Heath M. Cairns, Paul A. Tooney, and Murray J. Cairns
Subjects: Schizophrenia, MicroRNA, Dorsolateral prefrontal cortex, Network, Neuropathology, Biology (General), QH301-705.5, Computer applications to medicine. Medical informatics, R858-859.7
Abstract: Schizophrenia-associated anomalies in gene expression in postmortem brain can be attributed to a combination of genetic and environmental influences. Given the small effect size of common variants, it is likely that we may only see the combined impact of some of these at the pathway level in small postmortem studies. At the gene level, however, there may be more impact from common environmental exposures mediated by influential epigenomic modifiers, such as microRNA (miRNA). We hypothesise that dysregulation of miRNAs and their alteration of gene expression have significant implications in the pathophysiology of schizophrenia. In this study, we integrate changes in cortical gene and miRNA expression to identify regulatory interactions and networks associated with the disorder. Gene expression analysis in post-mortem prefrontal dorsolateral cortex (BA 46) (n = 74 matched pairs of schizophrenia, schizoaffective, and control samples) was integrated with miRNA expression in the same cohort to identify gene–miRNA regulatory networks. A significant gene–miRNA interaction network was identified, including miR-92a, miR-495, and miR-134, which converged with differentially expressed genes in pathways involved in neurodevelopment and oligodendrocyte function. The capacity for miRNA to directly regulate gene expression through respective binding sites in BCL11A, PLP1, and SYT11 was also confirmed to support the biological relevance of this integrated network model. The observations in this study support the hypothesis that miRNA dysregulation is an important factor in the complex pathophysiology of schizophrenia.
Published: 2019
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4. Transcriptomic Profiling of DNA Damage Response in Patient-Derived Glioblastoma Cells before and after Radiation and Temozolomide Treatment

Author: Mathew Lozinski, Nikola A. Bowden, Moira C. Graves, Michael Fay, Bryan W. Day, Brett W. Stringer, and Paul A. Tooney
Subjects: glioblastoma, DNA damage response, treatment resistance, temozolomide, radiation, Cytology, QH573-671
Abstract: Glioblastoma is a highly aggressive, invasive and treatment-resistant tumour. The DNA damage response (DDR) provides tumour cells with enhanced ability to activate cell cycle arrest and repair treatment-induced DNA damage. We studied the expression of DDR, its relationship with standard treatment response and patient survival, and its activation after treatment. The transcriptomic profile of DDR pathways was characterised within a cohort of isocitrate dehydrogenase (IDH) wild-type glioblastoma from The Cancer Genome Atlas (TCGA) and 12 patient-derived glioblastoma cell lines. The relationship between DDR expression and patient survival and cell line response to temozolomide (TMZ) or radiation therapy (RT) was assessed. Finally, the expression of 84 DDR genes was examined in glioblastoma cells treated with TMZ and/or RT. Although distinct DDR cluster groups were apparent in the TCGA cohort and cell lines, no significant differences in OS and treatment response were observed. At the gene level, the high expression of ATP23, RAD51C and RPA3 independently associated with poor prognosis in glioblastoma patients. Finally, we observed a substantial upregulation of DDR genes after treatment with TMZ and/or RT, particularly in RT-treated glioblastoma cells, peaking within 24 h after treatment. Our results confirm the potential influence of DDR genes in patient outcome. The observation of DDR genes in response to TMZ and RT gives insight into the global response of DDR pathways after adjuvant treatment in glioblastoma, which may have utility in determining DDR targets for inhibition.
Published: 2022
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5. Low tumour-infiltrating lymphocyte density in primary and recurrent glioblastoma

Author: Kelsey Maddison, Moira C. Graves, Sam Faulkner, Michael Fay, Paul A. Tooney, Nikola A. Bowden, and Ricardo E. Vilain
Subjects: Tumour infiltrating lymphocyte, medicine.medical_treatment, CD3, Cell, immune microenvironment, chemical and pharmacologic phenomena, Medicine, tumour recurrence, tumour-infiltrating lymphocytes, biology, business.industry, Recurrent glioblastoma, glioblastoma, hemic and immune systems, Immunotherapy, medicine.disease, Immune checkpoint, medicine.anatomical_structure, Oncology, programmed cell death 1, Cancer research, biology.protein, business, CD8, Research Paper, Glioblastoma
Abstract: Immunotherapies targeting tumour-infiltrating lymphocytes (TILs) that express the immune checkpoint molecule programmed cell death-1 (PD-1) have shown promise in preclinical glioblastoma models but have had limited success in clinical trials. To assess when glioblastoma is most likely to benefit from immune checkpoint inhibitors we determined the density of TILs in primary and recurrent glioblastoma. Thirteen cases of matched primary and recurrent glioblastoma tissue were immunohistochemically labelled for CD3, CD8, CD4 and PD-1, and TIL density assessed. CD3+ TILs were observed in all cases, with the majority of both primary (69.2%) and recurrent (61.5%) tumours having low density of TILs present. CD8+ TILs were observed at higher densities than CD4+ TILs in both tumour groups. PD-1+ TILs were sparse and present in only 25% of primary and 50% of recurrent tumours. Quantitative analysis of TILs demonstrated significantly higher CD8+ TIL density at recurrence (p = 0.040). No difference was observed in CD3+ (p = 0.191), CD4+ (p = 0.607) and PD-1+ (p = 0.070) TIL density between primary and recurrent groups. This study shows that TILs are present at low densities in both primary and recurrent glioblastoma. Furthermore, PD-1+ TILs were frequently absent, which may provide evidence as to why anti-PD-1 immunotherapy trials have been largely unsuccessful in glioblastoma.
Published: 2021
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6. DNA damage repair in glioblastoma: current perspectives on its role in tumour progression, treatment resistance and PIKKing potential therapeutic targets

Author: Michael Fay, Paul A. Tooney, Moira C. Graves, Nikola A. Bowden, and Mathew Lozinski
Subjects: 0301 basic medicine, Cancer Research, Programmed cell death, Chemotherapy, DNA damage, business.industry, DNA repair, Mechanism (biology), medicine.medical_treatment, General Medicine, Immunotherapy, medicine.disease, Penetrance, 03 medical and health sciences, 030104 developmental biology, 0302 clinical medicine, Oncology, 030220 oncology & carcinogenesis, Glioma, medicine, Cancer research, Molecular Medicine, business
Abstract: The aggressive, invasive and treatment resistant nature of glioblastoma makes it one of the most lethal cancers in humans. Total surgical resection is difficult, and a combination of radiation and chemotherapy is used to treat the remaining invasive cells beyond the tumour border by inducing DNA damage and activating cell death pathways in glioblastoma cells. Unfortunately, recurrence is common and a major hurdle in treatment, often met with a more aggressive and treatment resistant tumour. A mechanism of resistance is the response of DNA repair pathways upon treatment-induced DNA damage, which enact cell-cycle arrest and repair of DNA damage that would otherwise cause cell death in tumour cells. In this review, we discuss the significance of DNA repair mechanisms in tumour formation, aggression and treatment resistance. We identify an underlying trend in the literature, wherein alterations in DNA repair pathways facilitate glioma progression, while established high-grade gliomas benefit from constitutively active DNA repair pathways in the repair of treatment-induced DNA damage. We also consider the clinical feasibility of inhibiting DNA repair in glioblastoma and current strategies of using DNA repair inhibitors as agents in combination with chemotherapy, radiation or immunotherapy. Finally, the importance of blood-brain barrier penetrance when designing novel small-molecule inhibitors is discussed.
Published: 2021
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7. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

Author: Gabriëlla A.M. Blokland, Jakob Grove, Chia-Yen Chen, Chris Cotsapas, Stuart Tobet, Robert Handa, David St Clair, Todd Lencz, Bryan J. Mowry, Sathish Periyasamy, Murray J. Cairns, Paul A. Tooney, Jing Qin Wu, Brian Kelly, George Kirov, Patrick F. Sullivan, Aiden Corvin, Brien P. Riley, Tõnu Esko, Lili Milani, Erik G. Jönsson, Aarno Palotie, Hannelore Ehrenreich, Martin Begemann, Agnes Steixner-Kumar, Pak C. Sham, Nakao Iwata, Daniel R. Weinberger, Pablo V. Gejman, Alan R. Sanders, Joseph D. Buxbaum, Dan Rujescu, Ina Giegling, Bettina Konte, Annette M. Hartmann, Elvira Bramon, Robin M. Murray, Michele T. Pato, Jimmy Lee, Ingrid Melle, Espen Molden, Roel A. Ophoff, Andrew McQuillin, Nicholas J. Bass, Rolf Adolfsson, Anil K. Malhotra, Nicholas G. Martin, Janice M. Fullerton, Philip B. Mitchell, Peter R. Schofield, Andreas J. Forstner, Franziska Degenhardt, Sabrina Schaupp, Ashley L. Comes, Manolis Kogevinas, José Guzman-Parra, Andreas Reif, Fabian Streit, Lea Sirignano, Sven Cichon, Maria Grigoroiu-Serbanescu, Joanna Hauser, Jolanta Lissowska, Fermin Mayoral, Bertram Müller-Myhsok, Beata Świątkowska, Thomas G. Schulze, Markus M. Nöthen, Marcella Rietschel, John Kelsoe, Marion Leboyer, Stéphane Jamain, Bruno Etain, Frank Bellivier, John B. Vincent, Martin Alda, Claire O’Donovan, Pablo Cervantes, Joanna M. Biernacka, Mark Frye, Susan L. McElroy, Laura J. Scott, Eli A. Stahl, Mikael Landén, Marian L. Hamshere, Olav B. Smeland, Srdjan Djurovic, Arne E. Vaaler, Ole A. Andreassen, Bernhard T. Baune, Tracy Air, Martin Preisig, Rudolf Uher, Douglas F. Levinson, Myrna M. Weissman, James B. Potash, Jianxin Shi, James A. Knowles, Roy H. Perlis, Susanne Lucae, Dorret I. Boomsma, Brenda W.J.H. Penninx, Jouke-Jan Hottenga, Eco J.C. de Geus, Gonneke Willemsen, Yuri Milaneschi, Henning Tiemeier, Hans J. Grabe, Alexander Teumer, Sandra Van der Auwera, Uwe Völker, Steven P. Hamilton, Patrik K.E. Magnusson, Alexander Viktorin, Divya Mehta, Niamh Mullins, Mark J. Adams, Gerome Breen, Andrew M. McIntosh, Cathryn M. Lewis, David M. Hougaard, Merete Nordentoft, Ole Mors, Preben B. Mortensen, Thomas Werge, Thomas D. Als, Anders D. Børglum, Tracey L. Petryshen, Jordan W. Smoller, Jill M. Goldstein, Stephan Ripke, Benjamin M. Neale, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Richard A. Belliveau, Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberly D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chen, Eric Y.H. Chen, Wei Cheng, Eric F.C. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Jurgen Del Favero, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Giulio Genovese, Lyudmila Georgieva, Paola Giusti-Rodríguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Lieuwe de Haan, Christian Hammer, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, Masashi Ikeda, Inge Joa, Antonio Julià, René S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kähler, Claudine Laurent, Jimmy Lee Chee Keong, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lönnqvist, Milan Macek, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Sandra Meier, Carin J. Meijer, Bela Melegh, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Vihra Milanova, Younes Mokrab, Derek W. Morris, Kieran C. Murphy, Inez Myin-Germeys, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O’Callaghan, Colm O’Dushlaine, F. Anthony O’Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietiläinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Ulrich Schall, Christian R. Schubert, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Hon-Cheong So, Chris C.A. Spencer, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T. Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Söderman, Srinivas Thirumalai, Draga Toncheva, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Peter M. Visscher, Douglas H.R. Blackwood, Ariel Darvasi, Enrico Domenici, Michael Gill, Hugh Gurling, Christina M. Hultman, Assen V. Jablensky, Kenneth S. Kendler, Jo Knight, Qingqin S. Li, Jianjun Liu, Steven A. McCarroll, Jennifer L. Moran, Michael J. Owen, Carlos N. Pato, Danielle Posthuma, Pamela Sklar, Jens R. Wendland, Mark J. Daly, Michael C. O’Donovan, Peter Donnelly, Ines Barroso, Jenefer M. Blackwell, Matthew A. Brown, Juan P. Casas, Panos Deloukas, Audrey Duncanson, Janusz Jankowski, Hugh S. Markus, Christopher G. Mathew, Colin N.A. Palmer, Robert Plomin, Anna Rautanen, Stephen J. Sawcer, Richard C. Trembath, Ananth C. Viswanathan, Nicholas W. Wood, Gavin Band, Céline Bellenguez, Colin Freeman, Eleni Giannoulatou, Garrett Hellenthal, Richard Pearson, Matti Pirinen, Amy Strange, Zhan Su, Damjan Vukcevic, Cordelia Langford, Hannah Blackburn, Suzannah J. Bumpstead, Serge Dronov, Sarah Edkins, Matthew Gillman, Emma Gray, Rhian Gwilliam, Naomi Hammond, Sarah E. Hunt, Alagurevathi Jayakumar, Jennifer Liddle, Owen T. McCann, Simon C. Potter, Radhi Ravindrarajah, Michelle Ricketts, Avazeh Tashakkori-Ghanbaria, Matthew Waller, Paul Weston, Pamela Whittaker, Sara Widaa, Mark I. McCarthy, Maria J. Arranz, Steven Bakker, Stephan Bender, Benedicto Crespo-Facorro, Jeremy Hall, Conrad Iyegbe, Stephen Lawrie, Kuang Lin, Don H. Linszen, Ignacio Mata, Muriel Walshe, Matthias Weisbrod, Durk Wiersma, Vassily Trubetskoy, Yunpeng Wang, Jonathan R.I. Coleman, Héléna A. Gaspar, Christiaan A. de Leeuw, Jennifer M. Whitehead Pavlides, Maciej Trzaskowski, Enda M. Byrne, Liam Abbott, Huda Akil, Diego Albani, Ney Alliey-Rodriguez, Adebayo Anjorin, Verneri Antilla, Swapnil Awasthi, Judith A. Badner, Marie Bækvad-Hansen, Jack D. Barchas, Nicholas Bass, Michael Bauer, Richard Belliveau, Carsten Bøcker Pedersen, Erlend Bøen, Marco P. Boks, James Boocock, Monika Budde, William Bunney, Margit Burmeister, Jonas Bybjerg-Grauholm, Miquel Casas, Felecia Cerrato, Kimberly Chambert, Alexander W. Charney, Danfeng Chen, Claire Churchhouse, Toni-Kim Clarke, William Coryell, David W. Craig, Cristiana Cruceanu, Piotr M. Czerski, Anders M. Dale, Simone de Jong, Jurgen Del-Favero, J. Raymond DePaulo, Amanda L. Dobbyn, Ashley Dumont, Torbjørn Elvsåshagen, Chun Chieh Fan, Sascha B. Fischer, Matthew Flickinger, Tatiana M. Foroud, Liz Forty, Christine Fraser, Katrin Gade, Diane Gage, Julie Garnham, Claudia Giambartolomei, Marianne Giørtz Pedersen, Jaqueline Goldstein, Scott D. Gordon, Katherine Gordon-Smith, Elaine K. Green, Melissa J. Green, Tiffany A. Greenwood, Weihua Guan, Martin Hautzinger, Urs Heilbronner, Maria Hipolito, Dominic Holland, Laura Huckins, Jessica S. Johnson, Radhika Kandaswamy, Robert Karlsson, Sarah Kittel-Schneider, Anna C. Koller, Ralph Kupka, Catharina Lavebratt, Jacob Lawrence, William B. Lawson, Markus Leber, Phil H. Lee, Shawn E. Levy, Jun Z. Li, Chunyu Liu, Anna Maaser, Donald J. MacIntyre, Pamela B. Mahon, Lina Martinsson, Steve McCarroll, Peter McGuffin, Melvin G. McInnis, James D. McKay, Helena Medeiros, Sarah E. Medland, Fan Meng, Grant W. Montgomery, Thomas W. Mühleisen, Hoang Nguyen, Caroline M. Nievergelt, Annelie Nordin Adolfsson, Evaristus A. Nwulia, Claire O'Donovan, Loes M. Olde Loohuis, Anil P.S. Ori, Lilijana Oruc, Urban Ösby, Amy Perry, Andrea Pfennig, Eline J. Regeer, Céline S. Reinbold, John P. Rice, Fabio Rivas, Margarita Rivera, Euijung Ryu, Cristina Sánchez-Mora, Alan F. Schatzberg, William A. Scheftner, Nicholas J. Schork, Cynthia Shannon Weickert, Tatyana Shehktman, Paul D. Shilling, Claire Slaney, Janet L. Sobell, Christine Søholm Hansen, Anne T. Spijker, Michael Steffens, John S. Strauss, Szabolcs Szelinger, Robert C. Thompson, Thorgeir E. Thorgeirsson, Jens Treutlein, Helmut Vedder, Weiqing Wang, Stanley J. Watson, Thomas W. Weickert, Simon Xi, Wei Xu, Allan H. Young, Peter Zandi, Peng Zhang, Sebastian Zöllner, Abdel Abdellaoui, Tracy M. Air, Till F.M. Andlauer, Silviu-Alin Bacanu, Aartjan T.F. Beekman, Elisabeth B. Binder, Julien Bryois, Henriette N. Buttenschøn, Na Cai, Enrique Castelao, Jane Hvarregaard Christensen, Lucía Colodro-Conde, Baptiste Couvy-Duchesne, Gregory E. Crawford, Gail Davies, Ian J. Deary, Eske M. Derks, Nese Direk, Conor V. Dolan, Erin C. Dunn, Thalia C. Eley, Farnush Farhadi Hassan Kiadeh, Hilary K. Finucane, Jerome C. Foo, Fernando S. Goes, Lynsey S. Hall, Thomas F. Hansen, Ian B. Hickie, Georg Homuth, Carsten Horn, David M. Howard, Marcus Ising, Rick Jansen, Ian Jones, Lisa A. Jones, Eric Jorgenson, Isaac S. Kohane, Julia Kraft, Warren W. Kretzschmar, Zoltán Kutalik, Yihan Li, Penelope A. Lind, Dean F. MacKinnon, Robert M. Maier, Jonathan Marchini, Hamdi Mbarek, Patrick McGrath, Christel M. Middeldorp, Evelin Mihailov, Francis M. Mondimore, Sara Mostafavi, Matthias Nauck, Bernard Ng, Michel G. Nivard, Dale R. Nyholt, Paul F. O'Reilly, Hogni Oskarsson, Jodie N. Painter, Roseann E. Peterson, Wouter J. Peyrot, Giorgio Pistis, Jorge A. Quiroz, Per Qvist, Saira Saeed Mirza, Robert Schoevers, Eva C. Schulte, Ling Shen, Stanley I. Shyn, Grant C.B. Sinnamon, Johannes H. Smit, Daniel J. Smith, Katherine E. Tansey, Henning Teismann, Wesley Thompson, Pippa A. Thomson, Matthew Traylor, André G. Uitterlinden, Daniel Umbricht, Albert M. van Hemert, Shantel Marie Weinsheimer, Jürgen Wellmann, Yang Wu, Hualin S. Xi, Jian Yang, Futao Zhang, Volker Arolt, Klaus Berger, Udo Dannlowski, Katharina Domschke, Caroline Hayward, Andrew C. Heath, Stefan Kloiber, Glyn Lewis, Pamela AF. Madden, Patrik K. Magnusson, Preben Bo Mortensen, Michael C. O'Donovan, Sara A. Paciga, Nancy L. Pedersen, David J. Porteous, Catherine Schaefer, Henry Völzke, Marco Bortolato, Janita Bralten, Cynthia M. Bulik, Christie L. Burton, Caitlin E. Carey, Lea K. Davis, Laramie E. Duncan, Howard J. Edenberg, Lauren Erdman, Stephen V. Faraone, Slavina B. Goleva, Wei Guo, Christopher Hübel, Laura M. Huckins, Ekaterina A. Khramtsova, Joanna Martin, Carol A. Mathews, Elise Robinson, Eli Stahl, Barbara E. Stranger, Michela Traglia, Raymond K. Walters, Lauren A. Weiss, Stacey J. Winham, Yin Yao, Kristjar Skajaa, Markus Nöthen, Michael Owen, Robert H. Yolken, Niels Plath, Jonathan Mill, Daniel Geschwind, Psychiatry 1, RS: MHeNs - R2 - Mental Health, Psychiatrie & Neuropsychologie, Centre of Excellence in Complex Disease Genetics, Research Programme of Molecular Medicine, Research Programs Unit, Aarno Palotie / Principal Investigator, Institute for Molecular Medicine Finland, Genomics of Neurological and Neuropsychiatric Disorders, Functional Genomics, Biological Psychology, APH - Mental Health, APH - Methodology, Sociology and Social Gerontology, APH - Personalized Medicine, APH - Health Behaviors & Chronic Diseases, Blokland, Gabriella AM, Grove, Jakob, Chen, Chia Yen, Cotsapas, Chris, Tobet, Stuart, Handa, Robert, Lee, Sang Hong, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Bipolar Disorder Working Group of the Psychiatric Genomics Consortium, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Sex Differences Cross-Disorder Analysis Group of the Psychiatric Genomics Consortium, iPSYCH, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), Child and Adolescent Psychiatry / Psychology, Adult Psychiatry, ANS - Complex Trait Genetics, and ANS - Mood, Anxiety, Psychosis, Stress & Sleep
Subjects: 0301 basic medicine, Male, Bipolar Disorder, Schizophrenia/genetics, LD SCORE REGRESSION, Genome-wide association study, 0302 clinical medicine, Receptors, SCHIZOPHRENIA, Psychotic Disorders/genetics, KYNURENINE PATHWAY METABOLISM, Genetics, RISK, Sex Characteristics, Vascular Endothelial Growth Factor, Bipolar Disorder/genetics, Major/genetics, Single Nucleotide, AFFECTIVE STIMULI IMPACT, Schizophrenia, Sulfurtransferases, Major depressive disorder, Female, Depressive Disorder, Major/genetics, Bipolar disorder, Locus (genetics), Genomics, Biology, Polymorphism, Single Nucleotide, Article, DYSPHORIC MOOD, 03 medical and health sciences, Sex differences, medicine, Humans, Genetic Predisposition to Disease, ddc:610, Polymorphism, GENOME-WIDE ASSOCIATION, Genotype-by-sex interaction, Biological Psychiatry, Depressive Disorder, Major, Depressive Disorder, GENDER-DIFFERENCES, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], PARAVENTRICULAR NUCLEUS, 3112 Neurosciences, Endothelial Cells, MAJOR DEPRESSION, medicine.disease, Genetic architecture, 030104 developmental biology, Mood, Receptors, Vascular Endothelial Growth Factor, Psychotic Disorders, 3111 Biomedicine, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Contains fulltext : 248656.pdf (Publisher’s version ) (Closed access) BACKGROUND: Sex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk. METHODS: We conducted the largest to date genome-wide genotype-by-sex (G×S) interaction of risk for these disorders using 85,735 cases (33,403 SCZ, 19,924 BIP, and 32,408 MDD) and 109,946 controls from the PGC (Psychiatric Genomics Consortium) and iPSYCH. RESULTS: Across disorders, genome-wide significant single nucleotide polymorphism-by-sex interaction was detected for a locus encompassing NKAIN2 (rs117780815, p = 3.2 × 10(-8)), which interacts with sodium/potassium-transporting ATPase (adenosine triphosphatase) enzymes, implicating neuronal excitability. Three additional loci showed evidence (p < 1 × 10(-6)) for cross-disorder G×S interaction (rs7302529, p = 1.6 × 10(-7); rs73033497, p = 8.8 × 10(-7); rs7914279, p = 6.4 × 10(-7)), implicating various functions. Gene-based analyses identified G×S interaction across disorders (p = 8.97 × 10(-7)) with transcriptional inhibitor SLTM. Most significant in SCZ was a MOCOS gene locus (rs11665282, p = 1.5 × 10(-7)), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509, p = 1.1 × 10(-7)) in a locus containing IDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant G×S interaction of genes regulating vascular endothelial growth factor receptor signaling in MDD (false discovery rate-corrected p < .05). CONCLUSIONS: In the largest genome-wide G×S analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development and immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway levels.
Published: 2022
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8. Sex-Dependent Shared and Nonshared Genetic Architecture Across Mood and Psychotic Disorders

Author: Andreas J. Forstner, Martin Alda, Manolis Kogevinas, Pak C. Sham, Patrick F. Sullivan, Michele T. Pato, John R. Kelsoe, Paul A. Tooney, Steven P. Hamilton, Dorret I. Boomsma, Gerome Breen, Tracy Air, Hannelore Ehrenreich, Nakao Iwata, Jill M. Goldstein, Olav B. Smeland, Daniel R. Weinberger, Andrew McQuillin, Stuart A. Tobet, Elvira Bramon, Gabriëlla A.M. Blokland, Jing Qin Wu, Erik G. Jönsson, Peter R. Schofield, Fabian Streit, Nicholas Bass, Aarno Palotie, Brian Kelly, Cathryn M. Lewis, Srdjan Djurovic, Thomas Damm Als, Chia-Yen Chen, Bettina Konte, Joanna Hauser, Claire O'Donovan, Laura J. Scott, Hans J. Grabe, Murray J. Cairns, Rudolf Uher, Pablo Cervantes, Nicholas G. Martin, James A. Knowles, Aiden Corvin, Espen Molden, Lili Milani, Andreas Reif, Maria Grigoroiu-Serbanescu, George Kirov, Yuri Milaneschi, David St Clair, Eco J. C. de Geus, Robert Handa, Tõnu Esko, Alexander Teumer, Anders D. Børglum, Divya Mehta, Roel A. Ophoff, Susanne Lucae, Henning Tiemeier, Marion Leboyer, Ina Giegling, Alan R. Sanders, Jouke-Jan Hottenga, Pablo V. Gejman, Bernhard T. Baune, Brenda W.J.H. Penninx, Chris Cotsapas, Martin Preisig, Thomas Werge, Jakob Grove, Ingrid Melle, Jordan W. Smoller, Marcella Rietschel, Myrna M. Weissman, Preben Bo Mortensen, Philip B. Mitchell, Jolanta Lissowska, Andrew M. McIntosh, Annette M. Hartmann, Ole A. Andreassen, Lea Sirignano, John B. Vincent, Niamh Mullins, Jimmy Lee, Gonneke Willemsen, Marian L. Hamshere, Rolf Adolfsson, Mark A. Frye, Markus M. Nöthen, Jianxin Shi, Ashley L. Comes, Robin M. Murray, Patrik K. E. Magnusson, Frank Bellivier, Stéphane Jamain, Ole Mors, Sven Cichon, Uwe Völker, Fermín Mayoral, Bryan J. Mowry, Bruno Etain, James B. Potash, Beata Świątkowska, Bertram Müller-Myhsok, Mikael Landén, Tracey L. Petryshen, Franziska Degenhardt, Mark Adams, Dan Rujescu, Jose Guzman-Parra, Thomas G. Schulze, Merete Nordentoft, Joseph D. Buxbaum, Janice M. Fullerton, Brien P. Riley, Roy H. Perlis, Arne E. Vaaler, David M. Hougaard, Eli A. Stahl, Susan L. McElroy, Sabrina K. Schaupp, Martin Begemann, Sandra Van der Auwera, Todd Lencz, Joanna M. Biernacka, Agnes A. Steixner-Kumar, Douglas F. Levinson, Sathish Periyasamy, Alexander Viktorin, and Anil K. Malhotra
Subjects: Genetics, 0303 health sciences, Medizin, Locus (genetics), Genomics, Biology, medicine.disease, Genetic architecture, 03 medical and health sciences, 0302 clinical medicine, Mood, medicine, Major depressive disorder, Bipolar disorder, Gene, NKAIN2 Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: BACKGROUNDSex differences in incidence and/or presentation of schizophrenia (SCZ), major depressive disorder (MDD), and bipolar disorder (BIP) are pervasive. Previous evidence for shared genetic risk and sex differences in brain abnormalities across disorders suggest possible shared sex-dependent genetic risk.METHODSWe conducted the largest to date genome-wide genotype–by–sex (GxS) interaction of risk for these disorders, using 85,735 cases (33,403 SCZ, 19,924 BIP, 32,408 MDD) and 109,946 controls from the Psychiatric Genomics Consortium (PGC) and iPSYCH.RESULTSAcross disorders, genome-wide significant SNP-by-sex interaction was detected for a locus encompassingNKAIN2(rs117780815;p=3.2×10−8), that interacts with sodium/potassium-transporting ATPase enzymes implicating neuronal excitability. Three additional loci showed evidence (p−6) for cross-disorder GxS interaction (rs7302529,p=1.6×10−7; rs73033497,p=8.8×10−7; rs7914279,p=6.4×10−7) implicating various functions. Gene-based analyses identified GxS interaction across disorders (p=8.97×10−7) with transcriptional inhibitorSLTM. Most significant in SCZ was aMOCOSgene locus (rs11665282;p=1.5×10−7), implicating vascular endothelial cells. Secondary analysis of the PGC-SCZ dataset detected an interaction (rs13265509;p=1.1×10−7) in a locus containingIDO2, a kynurenine pathway enzyme with immunoregulatory functions implicated in SCZ, BIP, and MDD. Pathway enrichment analysis detected significant GxS of genes regulating vascular endothelial growth factor (VEGF) receptor signaling in MDD (pFDRCONCLUSIONSIn the largest genome-wide GxS analysis of mood and psychotic disorders to date, there was substantial genetic overlap between the sexes. However, significant sex-dependent effects were enriched for genes related to neuronal development, immune and vascular functions across and within SCZ, BIP, and MDD at the variant, gene, and pathway enrichment levels.
Published: 2022

9. Schizophrenia-associated MicroRNA–Gene Interactions in the Dorsolateral Prefrontal Cortex

Author: Heath M. Cairns, Danielle M. Santarelli, Adam P. Carroll, Paul A. Tooney, and Murray J. Cairns
Subjects: Postmortem studies, Letter, MicroRNA Gene, Prefrontal Cortex, Network, Biology, Biochemistry, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, microRNA, Gene expression, Genetics, medicine, Humans, Gene Regulatory Networks, lcsh:QH301-705.5, Molecular Biology, Gene, Neuropathology, 030304 developmental biology, Epigenomics, 0303 health sciences, Gene Expression Profiling, MicroRNA, medicine.disease, Dorsolateral prefrontal cortex, MicroRNAs, Computational Mathematics, medicine.anatomical_structure, lcsh:Biology (General), Schizophrenia, Neuroscience, 030217 neurology & neurosurgery, Transcription Factors
Abstract: Schizophrenia-associated anomalies in gene expression in postmortem brain can be attributed to a combination of genetic and environmental influences. Given the small effect size of common variants, it is likely that we may only see the combined impact of some of these at the pathway level in small postmortem studies. At the gene level, however, there may be more impact from common environmental exposures mediated by influential epigenomic modifiers, such as microRNA (miRNA). We hypothesise that dysregulation of miRNAs and their alteration of gene expression have significant implications in the pathophysiology of schizophrenia. In this study, we integrate changes in cortical gene and miRNA expression to identify regulatory interactions and networks associated with the disorder. Gene expression analysis in post-mortem prefrontal dorsolateral cortex (BA 46) (n = 74 matched pairs of schizophrenia, schizoaffective, and control samples) was integrated with miRNA expression in the same cohort to identify gene–miRNA regulatory networks. A significant gene–miRNA interaction network was identified, including miR-92a, miR-495, and miR-134, which converged with differentially expressed genes in pathways involved in neurodevelopment and oligodendrocyte function. The capacity for miRNA to directly regulate gene expression through respective binding sites in BCL11A, PLP1, and SYT11 was also confirmed to support the biological relevance of this integrated network model. The observations in this study support the hypothesis that miRNA dysregulation is an important factor in the complex pathophysiology of schizophrenia.
Published: 2019
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10. Alteration of miRNA-mRNA interactions in lymphocytes of individuals with schizophrenia

Author: Murray J. Cairns, Vaughan J. Carr, Joshua R. Atkins, Paul A. Tooney, Michael P Geaghan, Rodney J. Scott, and Alan M. Brichta
Subjects: Adult, Male, Systems biology, Gene Expression, Biology, Peripheral blood mononuclear cell, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Pleiotropy, microRNA, Gene expression, medicine, Humans, RNA, Messenger, Biological Psychiatry, Genetics, Messenger RNA, Sequence Analysis, RNA, Australia, High-Throughput Nucleotide Sequencing, RNA, medicine.disease, 030227 psychiatry, MicroRNAs, Psychiatry and Mental health, Gene Ontology, Schizophrenia, Leukocytes, Mononuclear, Female, 030217 neurology & neurosurgery
Abstract: The aetiology of schizophrenia is complex, heterogeneous, and involves interplay of many genetic and environmental influences. While significant progress has been made in the understanding the common heritable component, we are still grappling with the genomic encoding of environmental risk. One class of molecule that has tremendous potential is miRNA. These molecules are regulated by genetic and environmental factors associated with schizophrenia and have a very significant impact on temporospatial patterns of gene expression. To better understand the relationship between miRNA and gene expression in the disorder we analysed these molecules in RNA isolated from peripheral blood mononuclear cells (PBMCs) obtained from an Australian cohort of 36 individuals with schizophrenia and 15 healthy controls using next-generation RNA sequencing. Significant changes in both mRNA and miRNA expression profiles were observed implicating important interaction networks involved in immune activity and development. We also observed sexual dimorphism, particularly in relation to variation in mRNA, with males showing significantly more differentially expressed genes. Interestingly, while we explored expression in lymphocytes, the systems biology of miRNA-mRNA interactions was suggestive of significant pleiotropy with enrichment of networks related to neuronal activity.
Published: 2019
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11. Genome-wide association study of more than 40,000 bipolar disorder cases provides new insights into the underlying biology

Author: James McKay, Frank Bellivier, Mark A. Frye, Bertram Müller-Myhsok, Fermín Mayoral, I. Nicol Ferrier, Marion Leboyer, Fabian Streit, Dan J. Stein, James L. Kennedy, Christine Søholm Hansen, Scott D. Gordon, Beata Świątkowska, Valentina Escott-Price, Michael Bauer, Lina Martinsson, Donald J. MacIntyre, Oleksandr Frei, Daniel J. Smith, Sara A. Paciga, Takeo Saito, Jennifer L. Moran, Verneri Antilla, C Pantelis, Tomas Olsson, Swapnil Awasthi, Lena Backlund, Eirini Maratou, Martin Schalling, John B. Vincent, Niamh Mullins, Sarah E. Bergen, Niamh L. O'Brien, Marco P. Boks, Carsten Bøcker Pedersen, Mikael Landén, Franziska Degenhardt, Hang Zhou, Margarita Rivera, Andrew M. McIntosh, Manuel Mattheisen, Shawn Levy, Roy H. Perlis, John P. Rice, Sigurdur H. Magnusson, Amanda Dobbyn, Michael Conlon O'Donovan, Julien Bryois, Wolfgang Maier, John-Anker Zwart, J. Raymond DePaulo, Martin Alda, Laura G. Sloofman, Friederike Sophie David, James A. Knowles, Aiden Corvin, Thomas G. Schulze, Markus M. Nöthen, Nolan Kamitaki, Nina Dalkner, Brandon J. Coombes, Gustavo Turecki, Allan H. Young, Caroline M. Nievergelt, Patricia T. Michie, Ingrid Agartz, Towfique Raj, Diego Albani, Maria Grigoroiu-Serbanescu, Bernhard T. Baune, Kyooseob Ha, Vincent Millischer, Engilbert Sigurdsson, Eva C. Beins, Nicholas G. Martin, Gulja Babadjanova, Josef Frank, Eva Z. Reininghaus, Patrick F. Sullivan, Ian R. Gizer, Guy A. Rouleau, Carmel M. Loughland, Christine Lochner, Thorsten M. Kranz, Amy Perry, Arne E. Vaaler, Mariam M. Al Eissa, Simon Xi, Claire O'Donovan, Josep Antoni Ramos-Quiroga, Ketil J. Oedegaard, Helmut Vedder, Carol A. Mathews, Panagiotis Ferentinos, Tim B. Bigdeli, Derek W. Morris, Per Hoffmann, Mark Hyman Rapaport, Peter P. Zandi, Michael John Owen, Douglas M. Ruderfer, Anders D. Børglum, Catharina Lavebratt, Thorgeir E. Thorgeirsson, Paul A. Tooney, Michiaki Kubo, Steven A. Kushner, Jan Hillert, Loes M. Olde Loohuis, Anastasia Antoniou, Murielle Brum, Chikashi Terao, Nathaniel W. McGregor, Fabio Rivas, James B. Potash, Kevin S. O’Connell, Susanne Lucae, Brian M. Schilder, Katrin Gade, Stephan Ripke, Kristina Adorjan, Kari Stefansson, Tiffany A. Greenwood, Panos Roussos, Sarah Kittel-Schneider, Steven A. McCarroll, Sergi Papiol, Heon Jeong Lee, Assen Jablensky, Liliya Abramova, Dennis Hellgren, Jonas Bybjerg-Grauholm, Martin Lundberg, Hong-Hee Won, William Byerley, Lars Alfredsson, Joel Gelernter, Andrew McQuillin, Claire Slaney, Marta Ribasés, Stephanie H. Witt, Yoichiro Kamatani, Kyung Sue Hong, Marie Bækvad-Hansen, María Soler Artigas, Julie M. Cunningham, Fanny Senner, Stacy Steinberg, Paul D. Shilling, Nakao Iwata, Eystein Stordal, Armin Birner, Sarah E. Medland, Miquel Casas, Ben Michael Brumpton, Erlend Bøen, Bryan J. Mowry, Jolanta Lissowska, Francis J. McMahon, Howard J. Edenberg, Grant W. Montgomery, John I. Nurnberger, Stéphane Jamain, Claudio Toma, Ney Alliey-Rodriguez, Ole Mors, Micha Gawlik, David Curtis, Catrin Lewis, Evangelia-Eirini Tsermpini, Georgia Panagiotaropoulou, Marcella Rietschel, Jessica Yang, Ian Jones, Eduard Vieta, Ole A. Andreassen, Richard M. Myers, Dimitris Dikeos, Melissa J. Green, Janet L. Sobell, Maria Koromina, Piotr M. Czerski, Lilijana Oruc, Sven Cichon, Udo Dannlowski, Bruno Etain, Monika Budde, Alessia Fiorentino, Naomi R. Wray, Qingqin S. Li, Murray J. Cairns, Jonathan R. I. Coleman, Jose Guzman-Parra, Andreas J. Forstner, Hannah Young, Alfredo B. Cuellar-Barboza, Julian Roth, Torbjørn Elvsåshagen, Zhen Qiao, Thomas Werge, Athanassios Douzenis, Cristiana Cruceanu, Rolf Adolfsson, Peter Holmans, Vaughan J. Carr, Thomas W. Weickert, Masashi Ikeda, Joanna M. Biernacka, Lea Sirignano, Adam X. Maihofer, Ralph W. Kupka, John Strauss, Anders M. Dale, Elliot S. Gershon, Jakob Grove, Arianna Di Florio, Helena Medeiros, Ingrid Melle, Preben Bo Mortensen, Kristi Krebs, Saskia P. Hagenaars, Liz Forty, Stanley V. Catts, David M. Hougaard, Marianne Giørtz Pedersen, Andreas Reif, Toni-Kim Clarke, Anne T. Spijker, Danielle Posthuma, Manolis Kogevinas, Michael Boehnke, Rosa Bosch, Gerome Breen, Benjamin M. Neale, Jessica S. Johnson, Katherine Gordon-Smith, Cristina Sánchez-Mora, Alexander W. Charney, Henry R. Kranzler, Digby Quested, René S. Kahn, Lili Milani, Merete Nordentoft, Nathalie Brunkhorst-Kanaan, Laura M. Huckins, James T.R. Walters, Sigrid Børte, Antonio F. Pardiñas, Kristian Hveem, Julie Garnham, Jacob Lawrence, Vassily Trubetskoy, Rodney J. Scott, Nicholas Bass, Carlos N. Pato, Andrea Pfennig, Wei Xu, Calwing Liao, Nicholas John Craddock, Thomas Damm Als, Christina M. Hultman, Fernando S. Goes, Adebayo Anjorin, Evgenia Porichi, Frans Henskens, Nelson B. Freimer, Janice M. Fullerton, Cathryn M. Lewis, Srdjan Djurovic, Roel A. Ophoff, Phil Lee, Peter McGuffin, Gunnar Morken, George P. Patrinos, Alessandro Serretti, Cynthia Shannon Weickert, Pablo Cervantes, Bendik S. Winsvold, Tatiana Foroud, Tõnu Esko, Ulrich Schall, Michele T. Pato, Ji Hyun Baek, John R. Kelsoe, Olav B. Smeland, Janos Kalman, Eva C. Schulte, Joanna Hauser, Urs Heilbronner, Magnús Haraldsson, Martin Hautzinger, Lea Zillich, Eline J. Regeer, Douglas Blackwood, Laura J. Scott, Jordan W. Smoller, Michael J. Gandal, Marquis P. Vawter, Philip B. Mitchell, Ole Kristian Drange, Peter R. Schofield, Susanne Bengesser, Stefan Herms, George Kirov, Markus Leber, Louise Frisén, Thomas W. Mühleisen, Susan L. McElroy, Irwin D. Waldman, Wade H. Berrettini, Sally I. Sharp, Minsoo Kim, Lisa Jones, Eli A. Stahl, Hreinn Stefansson, Esben Agerbo, Dolores Malaspina, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Psychiatry, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Human genetics, Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention, Amsterdam Reproduction & Development (AR&D), APH - Digital Health, Mullins N., Forstner A.J., O'Connell K.S., Coombes B., Coleman J.R.I., Qiao Z., Als T.D., Bigdeli T.B., Borte S., Bryois J., Charney A.W., Drange O.K., Gandal M.J., Hagenaars S.P., Ikeda M., Kamitaki N., Kim M., Krebs K., Panagiotaropoulou G., Schilder B.M., Sloofman L.G., Steinberg S., Trubetskoy V., Winsvold B.S., Won H.-H., Abramova L., Adorjan K., Agerbo E., Al Eissa M., Albani D., Alliey-Rodriguez N., Anjorin A., Antilla V., Antoniou A., Awasthi S., Baek J.H., Baekvad-Hansen M., Bass N., Bauer M., Beins E.C., Bergen S.E., Birner A., Bocker Pedersen C., Boen E., Boks M.P., Bosch R., Brum M., Brumpton B.M., Brunkhorst-Kanaan N., Budde M., Bybjerg-Grauholm J., Byerley W., Cairns M., Casas M., Cervantes P., Clarke T.-K., Cruceanu C., Cuellar-Barboza A., Cunningham J., Curtis D., Czerski P.M., Dale A.M., Dalkner N., David F.S., Degenhardt F., Djurovic S., Dobbyn A.L., Douzenis A., Elvsashagen T., Escott-Price V., Ferrier I.N., Fiorentino A., Foroud T.M., Forty L., Frank J., Frei O., Freimer N.B., Frisen L., Gade K., Garnham J., Gelernter J., Giortz Pedersen M., Gizer I.R., Gordon S.D., Gordon-Smith K., Greenwood T.A., Grove J., Guzman-Parra J., Ha K., Haraldsson M., Hautzinger M., Heilbronner U., Hellgren D., Herms S., Hoffmann P., Holmans P.A., Huckins L., Jamain S., Johnson J.S., Kalman J.L., Kamatani Y., Kennedy J.L., Kittel-Schneider S., Knowles J.A., Kogevinas M., Koromina M., Kranz T.M., Kranzler H.R., Kubo M., Kupka R., Kushner S.A., Lavebratt C., Lawrence J., Leber M., Lee H.-J., Lee P.H., Levy S.E., Lewis C., Liao C., Lucae S., Lundberg M., MacIntyre D.J., Magnusson S.H., Maier W., Maihofer A., Malaspina D., Maratou E., Martinsson L., Mattheisen M., McCarroll S.A., McGregor N.W., McGuffin P., McKay J.D., Medeiros H., Medland S.E., Millischer V., Montgomery G.W., Moran J.L., Morris D.W., Muhleisen T.W., O'Brien N., O'Donovan C., Olde Loohuis L.M., Oruc L., Papiol S., Pardinas A.F., Perry A., Pfennig A., Porichi E., Potash J.B., Quested D., Raj T., Rapaport M.H., DePaulo J.R., Regeer E.J., Rice J.P., Rivas F., Rivera M., Roth J., Roussos P., Ruderfer D.M., Sanchez-Mora C., Schulte E.C., Senner F., Sharp S., Shilling P.D., Sigurdsson E., Sirignano L., Slaney C., Smeland O.B., Smith D.J., Sobell J.L., Soholm Hansen C., Soler Artigas M., Spijker A.T., Stein D.J., Strauss J.S., Swiatkowska B., Terao C., Thorgeirsson T.E., Toma C., Tooney P., Tsermpini E.-E., Vawter M.P., Vedder H., Walters J.T.R., Witt S.H., Xi S., Xu W., Yang J.M.K., Young A.H., Young H., Zandi P.P., Zhou H., Zillich L., Adolfsson R., Agartz I., Alda M., Alfredsson L., Babadjanova G., Backlund L., Baune B.T., Bellivier F., Bengesser S., Berrettini W.H., Blackwood D.H.R., Boehnke M., Borglum A.D., Breen G., Carr V.J., Catts S., Corvin A., Craddock N., Dannlowski U., Dikeos D., Esko T., Etain B., Ferentinos P., Frye M., Fullerton J.M., Gawlik M., Gershon E.S., Goes F.S., Green M.J., Grigoroiu-Serbanescu M., Hauser J., Henskens F., Hillert J., Hong K.S., Hougaard D.M., Hultman C.M., Hveem K., Iwata N., Jablensky A.V., Jones I., Jones L.A., Kahn R.S., Kelsoe J.R., Kirov G., Landen M., Leboyer M., Lewis C.M., Li Q.S., Lissowska J., Lochner C., Loughland C., Martin N.G., Mathews C.A., Mayoral F., McElroy S.L., McIntosh A.M., McMahon F.J., Melle I., Michie P., Milani L., Mitchell P.B., Morken G., Mors O., Mortensen P.B., Mowry B., Muller-Myhsok B., Myers R.M., Neale B.M., Nievergelt C.M., Nordentoft M., Nothen M.M., O'Donovan M.C., Oedegaard K.J., Olsson T., Owen M.J., Paciga S.A., Pantelis C., Pato C., Pato M.T., Patrinos G.P., Perlis R.H., Posthuma D., Ramos-Quiroga J.A., Reif A., Reininghaus E.Z., Ribases M., Rietschel M., Ripke S., Rouleau G.A., Saito T., Schall U., Schalling M., Schofield P.R., Schulze T.G., Scott L.J., Scott R.J., Serretti A., Shannon Weickert C., Smoller J.W., Stefansson H., Stefansson K., Stordal E., Streit F., Sullivan P.F., Turecki G., Vaaler A.E., Vieta E., Vincent J.B., Waldman I.D., Weickert T.W., Werge T., Wray N.R., Zwart J.-A., Biernacka J.M., Nurnberger J.I., Cichon S., Edenberg H.J., Stahl E.A., McQuillin A., Di Florio A., Ophoff R.A., Andreassen O.A., IMRB - 'Neuropsychiatrie translationnelle' [Créteil] (U955 Inserm - UPEC), Institut Mondor de Recherche Biomédicale (IMRB), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12)-Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR10-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Centre International de Recherche contre le Cancer - International Agency for Research on Cancer (CIRC - IARC), Organisation Mondiale de la Santé / World Health Organization Office (OMS / WHO), Optimisation thérapeutique en Neuropsychopharmacologie (OPTeN (UMR_S_1144 / U1144)), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Cité (UPCité), Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), and Etain, Bruno
Subjects: Multifactorial Inheritance, Bipolar Disorder, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Medizin, Genome-wide association study, Major Histocompatibility Complex/genetics, Major Histocompatibility Complex, 0302 clinical medicine, Risk Factors, MESH: Risk Factors, MESH: Bipolar Disorder, Chromosomes, Human, Spectrum disorder, Genetics, 0303 health sciences, Bipolar Disorder/genetics, MESH: Genetic Predisposition to Disease, MESH: Case-Control Studies, Phenotype, Schizophrenia, Synaptic signaling, Case-Control Studie, Human, Quantitative Trait Loci, Biology, MESH: Phenotype, MESH: Chromosomes, Human, Article, 03 medical and health sciences, MESH: Major Histocompatibility Complex, SDG 3 - Good Health and Well-being, ddc:570, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Multifactorial Inheritance/genetics, MESH: Genome, Human, 030304 developmental biology, MESH: Humans, Genome, Human, Risk Factor, Chromosomes, Human/genetics, Mental illness, medicine.disease, MESH: Quantitative Trait Loci, Human genetics, Psychologie, Case-Control Studies, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, MESH: Genome-Wide Association Study, Expression quantitative trait loci, MESH: Multifactorial Inheritance, Quantitative Trait Loci/genetics, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: International audience; Bipolar disorder is a heritable mental illness with complex etiology. We performed a genome-wide association study of 41,917 bipolar disorder cases and 371,549 controls of European ancestry, which identified 64 associated genomic loci. Bipolar disorder risk alleles were enriched in genes in synaptic signaling pathways and brain-expressed genes, particularly those with high specificity of expression in neurons of the prefrontal cortex and hippocampus. Significant signal enrichment was found in genes encoding targets of antipsychotics, calcium channel blockers, antiepileptics and anesthetics. Integrating expression quantitative trait locus data implicated 15 genes robustly linked to bipolar disorder via gene expression, encoding druggable targets such as HTR6, MCHR1, DCLK3 and FURIN. Analyses of bipolar disorder subtypes indicated high but imperfect genetic correlation between bipolar disorder type I and II and identified additional associated loci. Together, these results advance our understanding of the biological etiology of bipolar disorder, identify novel therapeutic leads and prioritize genes for functional follow-up studies.
Published: 2021
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12. DNA damage repair in glioblastoma: current perspectives on its role in tumour progression, treatment resistance and PIKKing potential therapeutic targets

Author: Mathew, Lozinski, Nikola A, Bowden, Moira C, Graves, Michael, Fay, and Paul A, Tooney
Subjects: DNA Repair, Models, Genetic, Brain Neoplasms, Drug Resistance, Neoplasm, Temozolomide, Humans, Cell Cycle Checkpoints, Glioblastoma, Antineoplastic Agents, Alkylating, DNA Damage
Abstract: The aggressive, invasive and treatment resistant nature of glioblastoma makes it one of the most lethal cancers in humans. Total surgical resection is difficult, and a combination of radiation and chemotherapy is used to treat the remaining invasive cells beyond the tumour border by inducing DNA damage and activating cell death pathways in glioblastoma cells. Unfortunately, recurrence is common and a major hurdle in treatment, often met with a more aggressive and treatment resistant tumour. A mechanism of resistance is the response of DNA repair pathways upon treatment-induced DNA damage, which enact cell-cycle arrest and repair of DNA damage that would otherwise cause cell death in tumour cells.In this review, we discuss the significance of DNA repair mechanisms in tumour formation, aggression and treatment resistance. We identify an underlying trend in the literature, wherein alterations in DNA repair pathways facilitate glioma progression, while established high-grade gliomas benefit from constitutively active DNA repair pathways in the repair of treatment-induced DNA damage. We also consider the clinical feasibility of inhibiting DNA repair in glioblastoma and current strategies of using DNA repair inhibitors as agents in combination with chemotherapy, radiation or immunotherapy. Finally, the importance of blood-brain barrier penetrance when designing novel small-molecule inhibitors is discussed.
Published: 2020

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

Author: Raquel E. Gur, Geor Bakker, Erick J. Canales-Rodríguez, Edith Pomarol-Clotet, Cynthia Shannon Weickert, Neda Jahanshad, Ulrich Schall, Theodore D. Satterthwaite, Vince D. Calhoun, Aleix Solanes, Frans Henskens, Antonin Skoch, Sara Llufriu, Anthony A. James, Michael Stäblein, Aurora Bonvino, Kun Yang, Cyril Höschl, Christos Pantelis, Carlos López-Jaramillo, Stefan Ehrlich, S. Sarró, Stefan Kaiser, Udo Dannlowski, Fengmei Fan, Wenhao Jiang, Paul E. Rasser, Patricia T. Michie, Julian A Pineda-Zapata, Zhiren Wang, Russell T. Shinohara, Eduard Vieta, Rodney J. Scott, Tilo Kircher, Andrea Weideman, Melissa J. Green, Nicola G. Cascella, Jason M. Bruggemann, Dominik Grotegerd, Viola Oertel, Janice M. Fullerton, Theo G.M. van Erp, Stanley V. Catts, Hong Xiang, Murray J. Cairns, Jingxu Chen, Paul M. Thompson, Adrian Preda, Elisabeth Solana, Fleur M. Howells, Godfrey D. Pearlson, Anne Uhlmann, Peter Kochunov, Christian Knöchel, Fabrizio Piras, Fude Yang, Je-Yeon Yun, Yunlong Tan, Henk Temmingh, Covadonga M. Díaz-Caneja, Peter J. McKenna, Carmel M. Loughland, Alexander Tomyshev, Kang Sim, Joost Janssen, Kaleda Vg, Ruben C. Gur, Akira Sawa, Ana M. Díaz-Zuluaga, Annabella Di Giorgio, Nerisa Banaj, Jessica A. Turner, Vanessa Cropley, Gavin Cooper, Raymond Salvador, Marc L. Seal, Rhoshel K. Lenroot, Stefan S. du Plessis, Yoichiro Takayanagi, Federica Piras, Jun Soo Kwon, Dan J. Stein, Anton Albajes-Eizagirre, David C. Glahn, Vaughan J. Carr, Thomas W. Weickert, Francesca Assogna, Lydia Fortea, Joaquim Radua, Igor Nenadic, Alessandro Bertolino, Margaret D. King, Eloy Martinez-Heras, Gianfranco Spalletta, Paul A. Tooney, Tim Hahn, Hua Guo, Stefan Borgwardt, Yann Quidé, Bryan J. Mowry, Shuping Tan, Axel Krug, Therese van Amelsvoort, Elliot Hong, Irina V. Lebedeva, David Tomecek, Daniel H. Wolf, Celso Arango, Clara Alloza, Matthias Kirschner, Dana Nguyen, Kaiser, Stefan, Psychiatrie & Neuropsychologie, MUMC+: MA Med Staf Spec Psychiatrie (9), and RS: MHeNs - R2 - Mental Health
Subjects: Male, Computer science, Image Processing, Medical and Health Sciences, 0302 clinical medicine, Computer-Assisted, Image Processing, Computer-Assisted, ENIGMA Consortium collaborators, Cerebral Cortex, 05 social sciences, Brain, Middle Aged, Magnetic Resonance Imaging, 3. Good health, Mental Health, Neurology, Schizophrenia, Biomedical Imaging, Female, Algorithms, Adult, medicine.medical_specialty, Mega-analysis, Cognitive Neuroscience, Neuroimaging, SURFACE-BASED ANALYSIS, 050105 experimental psychology, Article, Cortical thickness, lcsh:RC321-571, 03 medical and health sciences, Young Adult, Physical medicine and rehabilitation, Meta-Analysis as Topic, medicine, Humans, 0501 psychology and cognitive sciences, Cortical surface, ddc:610, Gray matter, lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry, Neurology & Neurosurgery, Volume, Psychology and Cognitive Sciences, Neurosciences, medicine.disease, Brain Disorders, Data set, 030217 neurology & neurosurgery, Diagnosis of schizophrenia
Abstract: Altres ajuts: SRB: The Australian Schizophrenia Research Bank (ASRB) was supported by the National Health and Medical Research Council of Australia (NHMRC) (Enabling Grant, ID 386500), the Pratt Foundation, Ramsay Health Care, the Viertel Charitable Foundation and the Schizophrenia Research Institute. Chief Investigators for ASRB were Carr, V., Schall, U., Scott, R., Jablensky, A., Mowry, B., Michie, P., Catts, S., Henskens, F., Pantelis, C. We thank Loughland, C., the ASRB Manager, and acknowledge the help of Jason Bridge for ASRB database queries. CP was supported by NHMRC Senior Principal Research Fellowships (IDs: 628386 & 1105825); GC was supported by the Schizophrenia Research Institute utilizing infrastructure funding from the New South Wales Ministry of Health and New South Wales Ministry of Trade and Investment (Australia); JMF was supported by NHMRC project grant (1063960) and the Janette Mary O'Neil Research Fellowship; MJG was supported by NHMRC as an R.D. Wright Biomedical Career Development Fellow (1061875). MJC was supported by NHMRC Senior Research Fellowship (1121474). CASSI: CSW is funded by the NSW Ministry of Health, Office of Health and Medical Research. CSW is a recipient of a National Health and Medical Research Council (Australia) Principal Research Fellowship (PRF) (#1117079). CIAM: The CIAM study (FMH - PI) was supported by the University Research Committee, University of Cape Town and South African funding bodies National Research Foundation and Medical Research Council. COBRE: The COBRE dataset and investigators were supported by NIH grants R01EB006841 & P20GM103472, as well as NSF grant 1539067. JT (senior author) and VDC are supported by 5R01MH094524. JMS is supported by R01 AA021771 and P50 AA022534. EONCKS: This work was supported by a New Partnership for Africa's Development (NEPAD) grant through the Department of Science and Technology of South Africa, the Medical Research Council of South Africa (grant number 65174). ESO: The ESO study was funded by NPU I - LO1611 and Ministry of Health, Czech Republic - Conceptual Development of Research Organization 00023001 (IKEM). FIDMAG/Project: This work was supported by the Catalan Government and several grants from the Instituto de Salud Carlos III and co-funded by European Union (ERDF/ESF, 'Investing in your future'): Miguel Servet Research Contracts and Research Project Grants. FOR2107 Marburg: The FOR2107 Marburg study was funded by the German Research Foundation (DFG), Tilo Kircher (speaker FOR2107; DFG grant numbers KI588/14-1, KI588/14-2), Axel Krug (KR 3822/5-1, KR 3822/7-2), Igor Nenadic (NE 2254/1-2), Carsten Konrad (KO 4291/3-1). FOR2107 Muenster: The FOR2107 Muenster study was funded by the German Research Foundation (DFG, grant FOR2107 DA1151/5-1 and DA1151/5-2 to UD) and the Interdisciplinary Center for Clinical Research (IZKF) of the medical faculty of Münster (grant Dan3/012/17 to UD). TH was supported by grants from the German Research Foundation (DFG grants HA7070/2-2, HA7070/3, HA7070/4). Frankfurt: MRI was performed at the Frankfurt Brain Imaging Center, supported by the German Research Council (DFG) and the German Ministry for Education and Research (BMBF; Brain Imaging Center Frankfurt/Main, DLR 01GO0203). GIPSI: This study was supported by Colciencias PRISMA-U.T. Huilong1 & Huilong2: This study was funded by the National Natural Science Foundation of China (81761128021; 31671145; 81401115; 81401133), Beijing Municipal Science and Technology Commission grant (Z141107002514016) and Beijing Natural Science Foundation(7162087, Beijing Municipal Administration of Hospitals Clinical medicine Development of special funding (XMLX201609; zylx201409). IGP: This study was funded by Project Grants from the Australian National Health and Medical Research Council of Australia (NHMRC; APP630471 and APP1081603), the Macquarie University's Australian Research Council Centre of Excellence in Cognition and its Disorders (CE110001021). Johns Hopkins: Supported by National Institutes of Health Grant Nos. MH-092443, MH-094268 (Silvio O. Conte Center), MH-105660, and MH-107730; foundation grants from Stanley, RUSK/S-R, and NARSAD/Brain and Behavior Research Foundation. Madrid: Supported by the Spanish Ministry of Science, Innovation and Universities, Instituto de Salud Carlos III, co-financed by ERDF Funds from the European Commission, "A way of making Europe", CIBERSAM. Madrid Regional Government (B2017/BMD-3740 AGES-CM-2), European Union Structural Funds and European Union Seventh Framework Program and H2020 Program; Fundación Familia Alonso, Fundación Alicia Koplowitz and Fundación Mutua Madrileña. MPRC1 & MPRC2: Support was received from NIH grants U01MH108148, 2R01EB015611, R01MH112180, R01DA027680, R01MH085646, P50MH103222 and T32MH067533, a State of Maryland contract (M00B6400091) and NSF grant (1620457). OLIN: The Olin study was supported by NIH grants R37MH43375 and R01MH074797. Oxford: The Oxford study MRC G0500092. SLF Rome: Support from the Italian Ministry of Health grants RC-12-13-14-15-16-17-18-19/A. RSCZ: RSCZ data collection was supported by RFBR 15-06-05758 grant. SCORE: This study was supported in part by grant 3232BO_119382 from the Swiss National Science Foundation. We thank the FePsy (Frueherkennung von Psychosen; early detection of psychosis) Study Group from the University of Basel, Department of Psychiatry, Switzerland, for the recruitment of the study participants. The FePsy Study was supported in part by grant No. SNF 3200-057216/1, ext./2, ext./3. Singapore: This study was supported by research grants from the National Healthcare Group, Singapore (SIG/05004; SIG/11003), and the Singapore Bioimaging Consortium (RP C-009/2006) research grants awarded to KS. SNUH: This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning (Grant no. 2013R1A2A1A03071089 and 2017M3C7A1029610). UCISZ: The UCISZ study was supported by the National Institutes of Mental Health grant number R21MH097196 to TGMvE. UCISZ data were processed by the UCI High Performance Computing cluster supported by Joseph Farran, Harry Mangalam, and Adam Brenner and the National Center for Research Resources and the National Center for Advancing Translational Sciences, National Institutes of Health, through Grant UL1 TR000153. UNIBA: The UNIBA study was supported by grant funding from the Italian Ministry of Health (PE-2011-02347951). UNIMAAS: The study was supported by Dutch Organization for Health Research and Development (ZonMw 91112002) and a personal grant to Thérèse van Amelsvoort (ZonMw-VIDI: 91712394). The data was collected in a clinical trial registered in the Dutch clinical trial registry under ID: NTR5094 (http://www.trialregister.nl). UPenn: This study was supported by the National Institute of Mental Health grants MH064045, MH 60722, MH019112, MH085096 (DHW), and R01MH112847 (RTS and TDS). Zurich: This study was supported by the Swiss National Science Foundation (105314_140351 to S.K.). Matthias Kirschner acknowledges support from the National Bank Fellowship (McGill University) and the Swiss National Foundation (P2SKP3_178175). Research reported in this publication was also supported by the following National Institutes of Health grants: U54 EB020403 to PMT, R01 MH116147, U24 RR21992, R21MH097196, and TR000153 to TGMvE, S10 OD023696 and R01EB015611 to PK, T32 AG058507and 5T32 MH073526 to CRKC, R01 MH117601 to NJ, ENIGMA's NIH Big Data to Knowledge (BD2K) initiative U54 EB020403, ENIGMA Sex Differences R01MH116147, and ENIGMA-COINSTAC: Advanced World-wide Transdiagnostic Analysis of Valence System Brain Circuits R01MH121246. 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

14. Wnt receptor gene FZD1 was associated with schizophrenia in genome-wide SNP analysis of the Australian Schizophrenia Research Bank cohort

Author: Vaughan J. Carr, Rodney J. Scott, Melissa J. Green, Assen Jablensky, Bryan J. Mowry, Frans Henskens, Murray J. Cairns, Ulrich Schall, Xiaoman Liu, Alan V. Boddy, Paul A. Tooney, Siew-Kee Low, Heath M. Cairns, Carmel M. Loughland, Jing Qin Wu, William R. Reay, Joshua R. Atkins, Patricia T. Michie, Stan Catts, Christos Pantelis, Liu, Xiaoman, Low, Siew Kee, Atkins, Joshua R., Wu, Jing Qin, Reay, William R., Cairns, Heath M., Green, Melissa J., Schall, Ulrich, Jablensky, Assen, Mowry, Bryan, Michie, Patricia T., Catts, Stan V., Henskens, Frans, Pantelis, Christos, Loughland, Carmel, Boddy, Alan V, Tooney, Paul A, Scott, Rodney J, Carr, Vaughan J, and Cairns, Murray J
Subjects: FZD1, Genetics, 0303 health sciences, Schizophrenia (object-oriented programming), Wnt Receptor Gene, Genome-wide association study, General Medicine, Biology, Genetic analysis, Genome, 03 medical and health sciences, Psychiatry and Mental health, 0302 clinical medicine, Cohort, 030217 neurology & neurosurgery, 030304 developmental biology, SNP array
Abstract: Objectives: Large-scale genetic analysis of common variation in schizophrenia has been a powerful approach to understanding this complex but highly heritable psychotic disorder. To further investigate loci, genes and pathways associated more specifically in the well-characterized Australian Schizophrenia Research Bank cohort, we applied genome-wide single-nucleotide polymorphism analysis in these three annotation categories. Methods: We performed a case–control genome-wide association study in 429 schizophrenia samples and 255 controls. Post-genome-wide association study analyses were then integrated with genomic annotations to explore the enrichment of variation at the gene and pathway level. We also examine candidate single-nucleotide polymorphisms with potential function within expression quantitative trait loci and investigate overall enrichment of variation within tissue-specific functional regulatory domains of the genome. Results: The strongest finding ( p = 2.01 × 10−6, odds ratio = 1.82, 95% confidence interval = [1.42, 2.33]) in genome-wide association study was with rs10252923 at 7q21.13, downstream of FZD1 (frizzled class receptor 1). While this did not stand alone after correction, the involvement of FZD1 was supported by gene-based analysis, which exceeded the threshold for genome-wide significance ( p = 2.78 × 10−6). Conclusion: The identification of FZD1, as an independent association signal at the gene level, supports the hypothesis that the Wnt signalling pathway is altered in the pathogenesis of schizophrenia and may be an important target for therapeutic development.
Published: 2020

15. Late gestation immune activation increases IBA1-positive immunoreactivity levels in the corpus callosum of adult rat offspring

Author: Patricia T. Michie, Paul A. Tooney, Mark J. Bigland, Ryan J. Duchatel, Deborah M. Hodgson, Lauren Harms, Crystal L. Meehan, Doug W. Smith, Phillip Jobling, and Frederick R. Walker
Subjects: Male, Cingulate cortex, medicine.medical_specialty, Offspring, medicine.medical_treatment, Biology, Corpus callosum, Corpus Callosum, White matter, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Internal medicine, medicine, Animals, Rats, Wistar, Biological Psychiatry, Immunity, Cellular, Microglia, Calcium-Binding Proteins, Microfilament Proteins, Age Factors, Rats, 030227 psychiatry, Psychiatry and Mental health, Poly I-C, medicine.anatomical_structure, Endocrinology, Cytokine, Prenatal Exposure Delayed Effects, Schizophrenia, Gestation, Female, Biomarkers, 030217 neurology & neurosurgery, Astrocyte
Abstract: Animal models of maternal immune activation study the effects of infection, an environmental risk factor for schizophrenia, on brain development. Microglia activation and cytokine upregulation may have key roles in schizophrenia neuropathology. We hypothesised that maternal immune activation induces changes in microglia and cytokines in the brains of the adult offspring. Maternal immune activation was induced by injecting polyriboinosinic:polyribocytidylic acid into pregnant rats on gestational day (GD) 10 or GD19, with brain tissue collected from the offspring at adulthood. We observed no change in Iba1, Gfap, IL1-β and TNF-α mRNA levels in the cingulate cortex (CC) in adult offspring exposed to maternal immune activation. Prenatal exposure to immune activation had a significant main effect on microglial IBA1-positive immunoreactive material (IBA1+IRM) in the corpus callosum; post-hoc analyses identified a significant increase in GD19 offspring, but not GD10. No change in was observed in the CC. In contrast, maternal immune activation had a significant main effect on GFAP+IRM in the CC at GD19 (not GD10); post-hoc analyses only identified a strong trend towards increased GFAP+IRM in the GD19 offspring, with no white matter changes. This suggests late gestation maternal immune activation causes subtle alterations to microglia and astrocytes in the adult offspring.
Published: 2018
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16. Contribution of copy number variants to schizophrenia from a genome-wide study of 41,321 subjects

Author: Patricia T. Michie, Franziska Degenhardt, Brandon Wormley, Paola Giusti-Rodríguez, Mark J. Daly, Raquelle I. Mesholam-Gately, Ingrid Melle, Sibylle G. Schwab, Andrew McQuillin, Benjamin M. Neale, Joshua L. Roffman, Abraham Reichenberg, Pamela Sklar, Diana O. Perkins, Jennifer L. Moran, Donald W. Black, Per Hoffmann, A. Hofman, Hailiang Huang, John L. Waddington, Giulio Genovese, Aaron R. Wolen, Deborah L. Levy, David Curtis, Digby Quested, Carlos N. Pato, Nicholas John Craddock, Stephanie Williams, Kung Yee Liang, Zhouzhi Wang, Tracey L. Petryshen, Ann E. Pulver, Randy L. Buckner, Stephan Ripke, Roel A. Ophoff, Danielle Posthuma, Lili Milani, Jacques Mallet, Menachem Fromer, Christian R. Marshall, Jaana Suvisaari, Jana Strohmaier, Richard Bruggeman, Marcella Rietschel, Ayman H. Fanous, Andrew M. McIntosh, James T.R. Walters, Dimitris Dikeos, Panos Roussos, Veikko Salomaa, Aiden Corvin, Carin J. Meijer, Tiina Paunio, Assen Jablensky, Sarah E. Bergen, Nancy G. Buccola, Annelie Nordin, Wolfgang Maier, Srdjan Djurovic, Naomi R. Wray, Aniket Shetty, Joel Eriksson, Dan Rujescu, Jouko Lönnqvist, Brian Kelly, Wenting Wu, Alexander Richards, Frans Henskens, Rich Belliveau, Bryan J. Mowry, Elodie Drapeau, Andreas J. Forstner, Silviu Alin Bacanu, Jubao Duan, Tõnu Esko, Bernard Lerer, Carmel M. Loughland, Olli Pietiläinen, Michael Conlon O'Donovan, Shaun M. Purcell, Michael Gill, Thomas G. Schulze, Douglas S. Greer, Stephen W. Scherer, Eli A. Stahl, Markus M. Nöthen, Guiqing Cai, William M. Brandler, Kristin K. Nicodemus, Dominique Campion, David A. Collier, Farooq Amin, Joel N. Hirschhorn, Robin M. Murray, Timothy G. Dinan, Mark Reimers, Murray J. Cairns, Rodney J. Scott, Aarno Palotie, Robert Freedman, Nelson B. Freimer, Joshua R. Atkins, Gary Donohoe, Ann Olincy, Jonathan Sebat, Colm McDonald, Srinivas Thirumalai, John Powell, Jo Knight, Vahram Haroutunian, Dieter B. Wildenauer, Tim B. Bigdeli, Lieuwe de Haan, Peter Eichhammer, James J. Crowley, Lynn E. DeLisi, Ulrich Schall, Rolf Adolfsson, Marcelo Bertalan, Thomas Hansen, Eric Strengman, Michael Davidson, Dheeraj Malhotra, Manuel Mattheisen, Jeffrey A. Lieberman, Benedicto Crespo-Facorro, Stephanie Godard, Edward M. Scolnick, Jonathan Pimm, Bertram Müller-Myhsok, Qingqin Li, Michele T. Pato, Wiepke Cahn, Christos Pantelis, Ingrid Agartz, Brendan Bulik-Sullivan, Madhusudan Gujral, Martilias S. Farrell, Brady J. Maher, Laurent Essioux, Karin V Fuentes Fajarado, Andres Metspalu, Stephanie H. Witt, Patrick F. Sullivan, Mark Weiser, Younes Mokrab, Kai How Farh, Line Olsen, Dermot Walsh, Peter Holmans, Hugh Gurling, Joseph I. Friedman, Andrew Pocklington, Daniel P. Howrigan, Lude Franke, Tune H. Pers, Larry J. Seidman, Pablo V. Gejman, Dalila Pinto, Michael John Owen, Inez Myin-Germeys, Steven A. McCarroll, Wei Cheng, Jackie Goldstein, C. Robert Cloninger, Elliot S. Gershon, Deborah A. Nertney, Thomas Werge, Noa Carrera, Kieran C. Murphy, Rita M. Cantor, Ariel Darvasi, Mark Hansen, Annette M. Hartmann, Ole A. Andreassen, Bradley T. Webb, Henrik B. Rasmussen, David Cohen, Elvira Bramon, Erik G. Jönsson, Vaughan J. Carr, Pui Y. Lee, Masashi Ikeda, Daniele Merico, Danny Antaki, Brien P. Riley, Stefan Herms, Igor Nenadic, Bettina Konte, Kimberley D. Chambert, Jurgen Del Favero, George Kirov, Matthew C. Keller, Jacob Gratten, Douglas F. Levinson, Luba Kalaydjieva, Bhooma Thiruvahindrapuram, Alan R. Sanders, Sang-Yun Oh, Alkes L. Price, Vihra Milanova, Juha Veijola, Erik Söderman, Dragan M. Svrakic, David H. Kavanagh, Patrik K. E. Magnusson, Douglas Blackwood, Nakao Iwata, Jim van Os, Jeremy M. Silverman, Elena Parkhomenko, Kenneth L. Davis, Jing Qin Wu, Eadbhard O'Callaghan, Chris C. A. Spencer, Juha Karjalainen, Anna K. Kähler, Clement C. Zai, Nigel Williams, Joseph D. Buxbaum, Jin P. Szatkiewicz, Laura Nisenbaum, Sang Hong Lee, Yunjung Kim, Colm O'Dushlaine, René S. Kahn, Morten Mattingsdal, Inge Joa, Marian L. Hamshere, Frank Dudbridge, Ina Giegling, Sandra Meier, Derek W. Morris, Robert W. McCarley, Douglas M. Ruderfer, Paul Cormican, Lyudmila Georgieva, Sven Cichon, Josef Frank, Jianxin Shi, George N. Papadimitriou, Kenneth S. Kendler, Margot Albus, Enrico Domenici, Claudine Laurent, Francis A. O'Neill, Adam Savitz, Jordan W. Smoller, James L. Kennedy, Peter M. Visscher, Valentina Escott-Price, Christina M. Hultman, T. Scott Stroup, Elizabeth Bevilacqua, James A. Knowles, William Byerley, Paul A. Tooney, Madeline Alexander, Stanley V. Catts, David St Clair, Sophie E. Legge, Gerald Nestadt, Michelle S. Maile, 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), Psychiatrie & Neuropsychologie, RS: MHeNs - R2 - Mental Health, MUMC+: Hersen en Zenuw Centrum (3), MUMC+: MA Psychiatrie (3), Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, APH - Mental Health, ANS - Complex Trait Genetics, Adult Psychiatry, Other departments, Marshall, Christian R, Howrigan, Daniel P, Merico, Daniele, Thiruvahindrapuram, Bhooma, Lee, S Hong, Sebat, Jonathan, Psychosis Endophenotypes International Consortium, CNV and Schizophrenia Working Groups of the Psychiatric Genomics Consortium, CNV, Schizophrenia Working Grp, Psychosis Endophenotypes, Rehabilitation Medicine, and Child and Adolescent Psychiatry / Psychology
Subjects: 0301 basic medicine, Male, 16P11.2, Duplication, Autism, Rearrangement, Genome-wide association study, Copy number variant, Gene, Medical and Health Sciences, 0302 clinical medicine, DUPLICATIONS, Risk Factors, Gene duplication, Genotype, Disorder, Copy-number variation, Genetics, Genetics & Heredity, RISK, copy number variation, REARRANGEMENTS, Biological Sciences, 16p11.2, 3. Good health, Phenotype, Female, Risk, CNVS, Genetic Markers, genetic etiology, CNV and Schizophrenia Working Groups of the Psychiatric Genomics Consortium, DNA Copy Number Variations, DISORDERS, CNV, Non-allelic homologous recombination, PHENOTYPES, Biology, 03 medical and health sciences, SDG 3 - Good Health and Well-being, genomics, Journal Article, Humans, Comparative Study, Genetic Predisposition to Disease, AUTISM, Psychosis Endophenotypes International Consortium, MUTATIONS, Case-control study, Odds ratio, R1, GENE, 030104 developmental biology, genetics research, Genetic marker, Genetic Loci, Case-Control Studies, Mutation, Schizophrenia, Human medicine, 030217 neurology & neurosurgery, Developmental Biology, Genome-Wide Association Study
Abstract: Copy number variants (CNVs) have been strongly implicated in the genetic etiology of schizophrenia (SCZ). However, genome-wide investigation of the contribution of CNV to risk has been hampered by limited sample sizes. We sought to address this obstacle by applying a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. A global enrichment of CNV burden was observed in cases (odds ratio (OR) = 1.11, P = 5.7 x 10(-15)), which persisted after excluding loci implicated in previous studies (OR = 1.07, P = 1.7 x 10(-6)). CNV burden was enriched for genes associated with synaptic function (OR = 1.68, P = 2.8 x 10(-11)) and neurobehavioral phenotypes in mouse (OR = 1.18, P = 7.3 x 10(-5)). Genome-wide significant evidence was obtained for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. Suggestive support was found for eight additional candidate susceptibility and protective loci, which consisted predominantly of CNVs mediated by nonallelic homologous recombination. Refereed/Peer-reviewed
Published: 2017
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17. M99. INVESTIGATING THE BEST PREDICTIVE CLINICAL FEATURES OF ANTI-N-METHYL-D-ASPARTATE RECEPTOR (NMDAR) ENCEPHALITIS IN THE 2010 AUSTRALIAN NATIONAL SURVEY OF HIGH IMPACT PSYCHOSIS (SHIP) COHORT

Author: Vera A. Morgan, Carol Harvey, Cyndi Shannon Weickert, Denny Meyer, Cherrie Galletly, Paul A. Tooney, Andrea Phillipou, David J. Castle, and Susan L. Rossell
Subjects: D aspartate, Oncology, Psychosis, medicine.medical_specialty, Poster Session II, business.industry, AcademicSubjects/MED00810, medicine.disease, Psychiatry and Mental health, Internal medicine, Cohort, mental disorders, medicine, Nmdar encephalitis, business, Receptor
Abstract: Background Anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis, a recently reported autoimmune disorder, can be mistakenly diagnosed as a psychotic disorder, especially schizophrenia, as patients can present with prominent psychotic symptoms, in particular persecutory ideation, hallucinations and disturbed speech. In this study we used machine learning of the clinical data in a large cohort of persons with a positive psychosis history to ascertain whether we could predict NMDAR-positive cases, and which variables most accurately distinguished between NMDAR-positive and -negative cases. Methods SHIP collected nationally representative data from 1825 individuals with a psychotic illness. Plasma samples were available for n=472. To investigate the prevalence of NMDAR autoantibodies a recombinant indirect immunofluorescence test was performed (EuroImmun AG, Lübeck, Germany), with NMDAR transfected human embryonic kidney (HEK) 293 cells quantified using NIS Elements software. NMDAR-positive cases were estimated. Gradient boosting machine learning (the data were randomly split: 60% for initial ascertainment and 40% for validation) was subsequently performed using the clinical data available: 120 variables in total across various domains of sociodemographic, medical history, psychiatric diagnosis and current psychiatric symptoms. Only the variables found to have significant (or near significant) association with being NMDAR-positive were used to develop rules for identifying cases. Results There were 38 NMDAR-positive cases. They were more likely to be associated with a schizophrenia /schizoaffective and a depressive psychosis diagnosis, and less likely to be associated with a bipolar diagnosis, than antibody-negative cases. They were also more likely to be associated with a single episode with good recovery, and with anxiety symptoms and dizziness in the prior 12 months (which included light headedness, feeling faint and unsteady). For the present state symptoms, restricted affect was more likely to be present whereas poverty of speech was rare. Initial insomnia and a medical history that included epilepsy were not present for any of the NMDAR-positive cases. The machine learning algorithm was able to successfully classify 94% of cases to the correct antibody group. Discussion In this significant Australian epidemiological cohort, we have identified key clinical features associated with anti-NMDAR encephalitis, including diagnosis, and symptoms and clinical course. The novel and insightful analyses afforded by using machine learning should be replicated in other samples to confirm the important clinical findings reported in the current work.
Published: 2020

18. Wnt receptor gene

Author: Xiaoman, Liu, Siew-Kee, Low, Joshua R, Atkins, Jing Qin, Wu, William R, Reay, Heath M, Cairns, Melissa J, Green, Ulrich, Schall, Assen, Jablensky, Bryan, Mowry, Patricia T, Michie, Stan V, Catts, Frans, Henskens, Christos, Pantelis, Carmel, Loughland, Alan V, Boddy, Paul A, Tooney, Rodney J, Scott, Vaughan J, Carr, and Murray J, Cairns
Subjects: Cohort Studies, Australia, Schizophrenia, Humans, Genetic Predisposition to Disease, Polymorphism, Single Nucleotide, Frizzled Receptors, Genome-Wide Association Study
Abstract: Large-scale genetic analysis of common variation in schizophrenia has been a powerful approach to understanding this complex but highly heritable psychotic disorder. To further investigate loci, genes and pathways associated more specifically in the well-characterized Australian Schizophrenia Research Bank cohort, we applied genome-wide single-nucleotide polymorphism analysis in these three annotation categories.We performed a case-control genome-wide association study in 429 schizophrenia samples and 255 controls. Post-genome-wide association study analyses were then integrated with genomic annotations to explore the enrichment of variation at the gene and pathway level. We also examine candidate single-nucleotide polymorphisms with potential function within expression quantitative trait loci and investigate overall enrichment of variation within tissue-specific functional regulatory domains of the genome.The strongest finding (The identification of
Published: 2019

19. TMIC-41. PROSTATE SPECIFIC MEMBRANE ANTIGEN EXPRESSION IN PRIMARY AND RECURRENT GLIOBLASTOMA

Author: Michael Fay, Nikola A. Bowden, Moira C. Graves, Mathew Lozinski, and Paul A. Tooney
Subjects: Primary Glioblastoma, Cancer Research, Primary (chemistry), business.industry, Recurrent glioblastoma, Tissue membrane, medicine.disease, urologic and male genital diseases, medicine.anatomical_structure, Oncology, Antigen, Prostate, Cancer research, Glutamate carboxypeptidase II, Tumor Microenvironment, Medicine, Neurology (clinical), business, Glioblastoma
Abstract: Patients with glioblastoma almost always suffer a recurrence of an aggressive treatment resistant tumour and succumb within months highlighting the need to develop treatment options for recurrent glioblastoma. One potential target is prostate specific membrane antigen (PSMA) expressed on the new vessels in primary glioblastoma tumours. This study compared the expression of PSMA in primary and recurrent glioblastoma tumours. Formalin-fixed paraffin-embedded sections of primary and matched recurrent tumours from 13 patients with glioblastoma were processed for PSMA immunohistochemical labelling. PSMA expression was scored from digitally scanned sections using a categorical system (Total PSMA expression = PSMA label intensity (0–3) x percent PSMA-positive blood vessels). Little PSMA labelling was observed in any adjacent ‘unaffected’ brain tissue. PSMA was localised to blood vessels including those displaying microvascular proliferation in 12/13 primary and 9/13 recurrent glioblastoma tumours. Total PSMA expression scores ranged from 0 – 230 (maximum score = 300) and was divided into low and high expression based on a median split (median = 57) of PSMA expression across all tumours. Regression analysis showed a significant difference in PSMA expression between primary and recurrent glioblastoma (p = 0.04) with PSMA being highly expressed in ~70% of primary and only 31% of recurrent glioblastoma. Three cases displayed high expression in both primary and recurrent glioblastoma and one case had no PSMA expression at all. In conclusion, whilst higher expression of PSMA was detected in more primary tumours, 70%+ of all primary and recurrent tumours expressed PSMA to some extent adding evidence that this may be a useful target for treatment of glioblastoma. Larger cohorts and other techniques for detecting PSMA are needed to provide further evidence for PSMA’s utility as a target and to further define which glioblastoma patients are most likely to benefit from this approach.
Published: 2019

20. White matter neuron biology and neuropathology in schizophrenia

Author: Cynthia Shannon Weickert, Paul A. Tooney, and Ryan J. Duchatel
Subjects: lcsh:RC435-571, Population, Review Article, Grey matter, White matter, 03 medical and health sciences, 0302 clinical medicine, lcsh:Psychiatry, Cortex (anatomy), mental disorders, medicine, education, education.field_of_study, biology, medicine.disease, Cellular neuroscience, 030227 psychiatry, Dorsolateral prefrontal cortex, Psychiatry and Mental health, medicine.anatomical_structure, nervous system, Schizophrenia, biology.protein, Neuron, NeuN, Neuroscience, 030217 neurology & neurosurgery
Abstract: Schizophrenia is considered a neurodevelopmental disorder as it often manifests before full brain maturation and is also a cerebral cortical disorder where deficits in GABAergic interneurons are prominent. Whilst most neurons are located in cortical and subcortical grey matter regions, a smaller population of neurons reside in white matter tracts of the primate and to a lesser extent, the rodent brain, subjacent to the cortex. These interstitial white matter neurons (IWMNs) have been identified with general markers for neurons [e.g., neuronal nuclear antigen (NeuN)] and with specific markers for neuronal subtypes such as GABAergic neurons. Studies of IWMNs in schizophrenia have primarily focused on their density underneath cortical areas known to be affected in schizophrenia such as the dorsolateral prefrontal cortex. Most of these studies of postmortem brains have identified increased NeuN+ and GABAergic IWMN density in people with schizophrenia compared to healthy controls. Whether IWMNs are involved in the pathogenesis of schizophrenia or if they are increased because of the cortical pathology in schizophrenia is unknown. We also do not understand how increased IWMN might contribute to brain dysfunction in the disorder. Here we review the literature on IWMN pathology in schizophrenia. We provide insight into the postulated functional significance of these neurons including how they may contribute to the pathophysiology of schizophrenia.
Published: 2019
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21. Transcriptomic abnormalities in peripheral blood in bipolar disorder, and discrimination of the major psychoses

Author: Antionette Perera, Stephen J. Glatt, Erin Gardiner, Jonathan L. Hess, Simone de Jong, Vaughan J. Carr, S.G. Yasawardene, Murray J. Cairns, Jayan Mendis, Nishantha Kumarasinghe, Daniel S. Tylee, Brian Kelly, Paul A. Tooney, Rahul Barve, Ulrich Schall, Ming T. Tsuang, Natalie J. Beveridge, Roel A. Ophoff, and Rodney J. Scott
Subjects: Psychosis, Bipolar Disorder, Gene Expression Profiling, Gene regulatory network, Biology, medicine.disease, Chromatin remodeling, Article, 030227 psychiatry, 03 medical and health sciences, Psychiatry and Mental health, 0302 clinical medicine, Psychotic Disorders, Schizophrenia, Immunology, Gene expression, medicine, Biomarker (medicine), Humans, Bipolar disorder, Transcriptome, Gene, 030217 neurology & neurosurgery, Biological Psychiatry
Abstract: We performed a transcriptome-wide meta-analysis and gene co-expression network analysis to identify genes and gene networks dysregulated in the peripheral blood of bipolar disorder (BD) cases relative to unaffected comparison subjects, and determined the specificity of the transcriptomic signatures of BD and schizophrenia (SZ). Nineteen genes and 4 gene modules were significantly differentially expressed in BD cases. Thirteen gene modules were shown to be differentially expressed in a combined case-group of BD and SZ subjects called “major psychosis”, including genes biologically linked to apoptosis, reactive oxygen, chromatin remodeling, and immune signaling. No modules were differentially expressed between BD and SZ cases. Machine-learning classifiers trained to separate diagnostic classes based solely on gene expression profiles could distinguish BD cases from unaffected comparison subjects with an area under the curve (AUC) of 0.724, as well as BD cases from SZ cases with AUC = 0.677 in withheld test samples. We introduced a novel and straightforward method called “polytranscript risk scoring” that could distinguish BD cases from unaffected subjects (AUC = 0.672) and SZ cases (AUC = 0.607) significantly better than expected by chance. Taken together, our results highlighted gene expression alterations common to BD and SZ that involve biological processes of inflammation, oxidative stress, apoptosis, and chromatin regulation, and highlight disorder-specific changes in gene expression that discriminate the major psychoses.
Published: 2019

22. Genomic Relationships, Novel Loci, and Pleiotropic Mechanisms across Eight Psychiatric Disorders

Author: Laura M. Thornton, Paul Lichtenstein, Verneri Anttila, Diego Albani, Josep Antoni Ramos-Quiroga, Roger A.H. Adan, Monika Schlögelhofer, Stephen Sanders, Enrique Castelao, Klaus Berger, Nina Dalkner, Urs Heilbronner, Engilbert Sigurdsson, Pablo Mir, Fuquan Zhang, James T.R. Walters, Patrick F. Sullivan, Fragiskos Gonidakis, F. Kyle Satterstrom, Sara Marsal, Per Hoffmann, Amy Perry, Valentina Ciullo, Beate Herpertz-Dahlmann, Catharina Lavebratt, Kieran C. Murphy, Tammy Hedderly, Hyun Ju Hong, Evald Saemundsen, Sascha B. Fischer, Hailiang Huang, Andrew D. Grotzinger, Nienke Vulink, Murray B. Stein, Mark A. Frye, Laura J. Scott, David Curtis, Todd Lencz, Janiece E. DeSocio, Richard A. Belliveau, Eduard Vieta, Andrea Dietrich, Wade H. Berrettini, Kenneth S. Kendler, Marquis P. Vawter, Paul S. Nestadt, Michael E. Talkowski, Manuel Mattheisen, Ingrid Agartz, Elisa Docampo, Bernhard T. Baune, Stefan Ehrlich, Jolanta Lissowska, Felecia Cerrato, Terje Nærland, Robin M. Murray, Jennifer Reichert, Annette M. Hartmann, Hannelore Ehrenreich, Howard J. Edenberg, Katherine A. Halmi, Qingqin S. Li, Peristera Paschou, Marie Bækvad-Hansen, Esther Walton, Alessio Maria Monteleone, Ted Reichborn-Kjennerud, Frank Bellivier, Jungeun Song, D. Blake Woodside, Young Shin Kim, Jochen Seitz, Jacques Pantel, Palmiero Monteleone, Erika L. Nurmi, Rodney J. Scott, Kang Sim, Ekaterina A. Khramtsova, Udo Dannlowski, Rolf Adolfsson, Danielle Posthuma, Melissa J. Green, Laura Ibanez-Gomez, Jakob Grove, Elvira Bramon, Gregory L. Hanna, Cynthia M. Bulik, Yiran Guo, Stephan Ripke, Mary M. Robertson, Harald N. Aschauer, Adebayo Anjorin, Joanna Martin, Bertram Müller-Myhsok, Deborah Kaminská, Jose Guzman-Parra, Benedetta Nacmias, Erik G. Jönsson, Jonathan R. I. Coleman, Douglas F. Levinson, Hamdi Mbarek, Gun Peggy Knudsen, Karin Egberts, Mette Nyegaard, Patrik K. E. Magnusson, Mark Adams, Douglas Blackwood, Elisabeth B. Binder, Marcus Ising, Anna R. Docherty, Jim van Os, Nese Direk, Lina Martinsson, Maria Arranz, Christel M. Middeldorp, Stefan Kloiber, Sintia Iole Belangero, Eske M. Derks, Ingrid Melle, Erlend Bøen, Jan Haavik, Federica Piras, Unna N. Danner, Anil K. Malhotra, Gerome Breen, Stephen V. Faraone, Amanda B Zheutlin, Timothy Poterba, Stephan Ruhrmann, Inge Joa, Ulrik Fredrik Malt, Sarah E. Bergen, Federica Tozzi, Lauren A. Weiss, Hana Papezova, Dominic Holland, Elliot S. Gershon, Jaakko Kaprio, Merete Nordentoft, Scott D. Gordon, Christopher Pittenger, Keun-Ah Cheon, Jennifer Jordan, Philip Gorwood, Myrna M. Weissman, Preben Bo Mortensen, Melissa A. Munn-Chernoff, Isobel Heyman, Eun-Young Shin, Christie L. Burton, Katherine Gordon-Smith, Sietske G. Helder, Peter Nagy, Till F. M. Andlauer, Yunpeng Wang, Young Key Kim, Kate Langley, Søren Dalsgaard, Richard Delorme, Torbjørn Elvsåshagen, Bennett L. Leventhal, Giovanni Gambaro, Christos Androutsos, Jennifer Tübing, Marion Roberts, Annelie Nordin Adolfsson, Hakon Hakonarson, Dorothy E. Grice, Vaughan J. Carr, Konstantinos Tziouvas, Stephanie Zerwas, Cathy L. Barr, Michael Conlon O'Donovan, Per Qvist, Beate St Pourcain, Samuel Kuperman, Leila Karhunen, Jack Samuels, Markus M. Nöthen, Martien J H Kas, Alfonso Tortorella, Mikael Landén, Jennifer Crosbie, Marco A. Grados, Joanna M. Biernacka, Paul D. Arnold, Irene A. Malaty, Jurjen J. Luykx, Nicholas Bass, Naomi R. Wray, Catharina A. Hartman, Christina M. Hultman, Michael S. Okun, Brandon Wormley, Michael Bauer, Daniel J. Smith, Ian Jones, Kathryn Roeder, Brien P. Riley, Caroline M. Nievergelt, Katrin Gade, Sarah Kittel-Schneider, Roy H. Perlis, James R. Mitchell, Ziarih Hawi, James Lee, Liz Forty, William E. Bunney, Thomas Damm Als, Catherine Schaefer, Digby Quested, Matteo Cassina, Anna C. Koller, Patrick Turley, Agnes A. Steixner, Anu Raevuori, Assen Jablensky, Peter Holmans, Dong-Ho Song, S. Evelyn Stewart, Jan K. Buitelaar, Fernando S. Goes, Alexander Münchau, Ayman H. Fanous, Nicolas Ramoz, James B. Potash, Monica Gratacos Mayora, Tobias Banaschewski, Céline S. Reinbold, Renata Rizzo, Arianna Di Florio, Lenka Foretova, Gianfranco Spalletta, Aarno Palotie, Eleftheria Zeggini, Lawrence W. Brown, Julie K. O'Toole, Lynn E. DeLisi, Ulrich Schall, Mary Roberson, Barbara J. Coffey, Bryan J. Mowry, Murray J. Cairns, Dan J. Stein, Glyn Lewis, Marta Ribasés, C. Robert Cloninger, Bettina Konte, John B. Vincent, Duncan S. Palmer, Radhika Kandaswamy, Christine Ladd-Acosta, Lars Alfredsson, Frank Visscher, Ulrike Schmidt, Aiden Corvin, Susan L. Santangelo, Brenda W.J.H. Penninx, David J. Porteous, Tetsuya Ando, Arne E. Vaaler, Bru Cormand, Laura Carlberg, Claire Churchhouse, Manfred Stuhrmann, Niamh Mullins, Christine Søholm Hansen, Cathy L. Budman, Hartmut Imgart, Dan E. Arking, James J. McGough, Michael Gill, Christel Depienne, Roland Burghardt, Antonio Julià, Anders M. Dale, Sven Sandin, Katharina Domschke, Maria Grigoroiu-Serbanescu, Susana Jiménez-Murcia, Marianne Giørtz Pedersen, Zsanett Tarnok, Gisli Baldursson, Michele T. Pato, David M. Hougaard, Thorgeir E. Thorgeirsson, Katharina Bey, Kerstin J. Plessen, Margaret A. Richter, Ole A. Andreassen, Claudine Laurent-Levinson, Leonid Padyukov, Jacques Mallet, Daniela Degortes, John R. Kelsoe, Robert D. Levitan, Andreas Reif, Chaim Huyser, Derek W. Morris, Sina Wanderer, William Byerley, Edna Grünblatt, E.J.C. de Geus, Hyejung Won, Josephine Elia, Rudolf Uher, Jay A. Tischfield, Andreas Karwautz, Gustavo Turecki, Pieter J. Hoekstra, Dorret I. Boomsma, Jacob Rosenthal, Daniele Cusi, Michael C. Neale, Sara Mostafavi, Gwyneth Zai, F. Anthony O'Neill, Gary Donohoe, Karola Rehnström, Harry Brandt, Helena Gaspar, Francis J. McMahon, H-Erich Wichmann, Andrew W. Bergen, Giovanni Coppola, Lea K. Davis, Lenka Slachtova, Olav B. Smeland, Erin C. Dunn, Nicholas G. Martin, Allan L. Naarden, Jo Knight, Cristina Sánchez-Mora, Masashi Ikeda, Lorraine Southam, Sandro Sorbi, Barbara Franke, Martin Schalling, Russell Schachar, Yen-Chen Anne Feng, Kirsten R. Müller-Vahl, André Scherag, Zhaozhong Zhu, Eric A. Storch, Páll Magnússon, David Cohen, Olafur O Gudmundsson, Harvey S. Singer, Brian Kelly, Jonas Bybjerg-Grauholm, Blanca Garcia-Delgar, Thomas Hansen, Carmel M. Loughland, Christine Lochner, Stacy Steinberg, Martin Woods, Jorge A. Quiroz, Raquel Rabionet, Alden Y. Huang, Janice M. Fullerton, María Soler Artigas, Hans J. Grabe, Philip Asherson, Margit Burmeister, Alicia R. Martin, Martin A. Kennedy, Janet Treasure, Anders D. Børglum, Eva C. Schulte, Andreas Hartmann, Frans Henskens, Youl-Ri Kim, Jens Treutlein, Joanna Hauser, Manfred M. Fichter, Damiaan Denys, Ann E. Pulver, Kelly L. Klump, Paul Sandor, Michael Wagner, Philippe Courtet, Sandra Van der Auwera, Susanne Lucae, Eystein Stordal, Michel G. Nivard, Maurizio Clementi, Astrid Morer, Philip B. Mitchell, Huda Akil, Edwin H. Cook, Jennifer L. Moran, Donald W. Black, Jeremiah M. Scharf, Jana Strohmaier, Colm McDonald, Meg M.-J. Wang, Richard M. Myers, Stephanie Godard, Pablo V. Gejman, Athanasios Maras, Marcella Rietschel, Nancy G. Buccola, Konstantinos Hatzikotoulas, Dalila Pinto, Jouke-Jan Hottenga, Kari Stefansson, James S. Sutcliffe, Andres Metspalu, Amaia Hervás, Joel Gelernter, Wolfgang Herzog, Paula Rovira, Gunnar Morken, Tara Murphy, Mark Weiser, Vincent Millischer, Frank Dudbridge, Dan Rujescu, Vladimir Bencko, Valdo Ricca, Kimberly Chambert, Guy A. Rouleau, James J. Crowley, Thomas G. Schulze, Toni-Kim Clarke, Triinu Peters, Gudrun Wagner, Daniel A. Geller, Henry R. Kranzler, G. Bragi Walters, Vera Golimbet, Clement C. Zai, Nigel Williams, Andreas Birgegård, Joseph D. Buxbaum, Elliot M. Tucker-Drob, Jerome C. Foo, Tracey L. Petryshen, Daniel P. Howrigan, Hunna J. Watson, Franziska Degenhardt, Peter R. Schofield, Jesper Buchhave Poulsen, Stefan Herms, Johannes Hebebrand, Mario Maj, George Kirov, Fabrizio Piras, Sara McDevitt, James T. McCracken, Carol A. Mathews, Michael John Owen, Peter Falkai, Donald L. Gilbert, Enda M. Byrne, Fernando Fernández-Aranda, Csaba Barta, Stéphane Jamain, Jubao Duan, Dongmei Yu, Danielle C. Cath, Ole Mors, Sigrun Hope, Laramie E. Duncan, Alan R. Sanders, Sang-Yun Oh, Carsten Bøcker Pedersen, Henning Tiemeier, Roseann E. Peterson, Raymond K. Walters, Margarita C T Slof-Op 't Landt, Madeline Alexander, Stephanie Le Hellard, Ina Giegling, Annemarie A. van Elburg, Steven P. Hamilton, Vesna Boraska Perica, Thomas V. Fernandez, Danielle M. Dick, Francesco Bettella, Roel A. Ophoff, Grant W. Montgomery, Gerald Nestadt, Nakao Iwata, Jessica H. Baker, Walter H. Kaye, Jeremy M. Silverman, Mark J. Daly, Robert A. King, Sarah E. Medland, Anastasios Konstantinidis, Robert D. Oades, Samuel H. Zinner, Steven Crawford, Daniel H. Geschwind, Patrick W. L. Leung, Martin Alda, Marie Navratilova, Pak C. Sham, Paul A. Tooney, Tian Ge, Veit Roessner, Martin Preisig, Thomas Werge, Eli A. Stahl, David A. Collier, Stephanie H. Witt, Dermot Walsh, Miquel Casas, Anna Keski-Rahkonen, Jane H. Christensen, Silvia De Rubeis, Giorgio Pistis, Sven Cichon, Bruno Etain, Dominique Campion, O. Joseph Bienvenu, Christian Dina, Manolis Kogevinas, Thomas Espeseth, Benjamin M. Neale, Ditte Demontis, Klaus-Peter Lesch, Marina Mitjans, Tiffany A. Greenwood, Marcos Madruga-Garrido, Sibylle G. Schwab, Oedegaard Ketil Joachim, Hreinn Stefansson, Sara A. Paciga, Monica Forzan, Dieter B. Wildenauer, Lena Backlund, A. Jeremy Willsey, Carlos N. Pato, Nicholas John Craddock, Inge A. Meijer, Sandra K. Loo, Filip Rybakowski, Tracey D. Wade, Scott J. Crow, Bernard Lerer, Valsamma Eapen, Esben Agerbo, Andrew M. McIntosh, Luis Augusto Rohde, Susan L. McElroy, Stephan Zipfel, Peter P. Zandi, Cathryn M. Lewis, Lars Klareskog, Martin Begemann, Phil Lee, Richard Anney, Mark A. Bellgrove, Lisa Jones, Andreas J. Forstner, Agnieszka Słopień, Hilary Coon, Dong Li, Alessandro Serretti, Carsten Horn, Christos Pantelis, Ryan L. Collins, David M. Howard, Lucía Colodro-Conde, Pippa A. Thomson, Martin Hautzinger, Alysa E. Doyle, Julie Hagstrøm, Oliver S. P. Davis, Karen S. Mitchell, Jordan W. Smoller, Michael Strober, John I. Nurnberger, Andrea G. Ludolph, Monika Budde, Anna Maaser, Lambertus Klei, Aribert Rothenberger, Yulia Worbe, Fabian Streit, James L. Kennedy, Barbara E. Stranger, Ashley Dumont, Jianxin Shi, Dale R. Nyholt, Craig Johnson, Jonna Kuntsi, Yun-Joo Koh, Loes M. Olde Loohuis, Robert B. Freedman, Anke Hinney, Susanne Walitza, Enrico Domenici, Margarita Rivera, Sodahm Kook, Erica Greenberg, Tetyana Zayats, Josef Frank, Gary A. Heiman, Andrew McQuillin, Abraham Reichenberg, Piotr M. 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P., Walsh, D., Weiser, M., Wildenauer, D. B., Williams, N. M., Wormley, B. K., Zhang, F., Androutsos, C., Arnold, P. D., Barr, C. L., Barta, C., Bey, K., Bienvenu, O. J., Black, D. W., Brown, L. W., Budman, C., Cath, D., Cheon, K. -A., Ciullo, V., Coffey, B. J., Cusi, D., Davis, L. K., Denys, D., Depienne, C., Dietrich, A., Eapen, V., Falkai, P., Fernandez, T. V., Garcia-Delgar, B., Geller, D. A., Gilbert, D. L., Grados, M. A., Greenberg, E., Grunblatt, E., Hagstrom, J., Hanna, G. L., Hartmann, A., Hedderly, T., Heiman, G. A., Heyman, I., Hong, H. J., Huang, A., Huyser, C., Ibanez-Gomez, L., Khramtsova, E. A., Kim, Y. K., Kim, Y. -S., King, R. A., Koh, Y. -J., Konstantinidis, A., Kook, S., Kuperman, S., Leventhal, B. L., Lochner, C., Ludolph, A. G., Madruga-Garrido, M., Malaty, I., Maras, A., Mccracken, J. T., Meijer, I. A., Mir, P., Morer, A., Muller-Vahl, K. R., Munchau, A., Murphy, T. L., Naarden, A., Nagy, P., Nestadt, G., Nestadt, P. S., Nicolini, H., Nurmi, E. L., Okun, M. S., Paschou, P., Piras, F., Pittenger, C., Plessen, K. J., Richter, M. A., Rizzo, R., Robertson, M., Roessner, V., Ruhrmann, S., Samuels, J. F., Sandor, P., Schlogelhofer, M., Shin, E. -Y., Singer, H., Song, D. -H., Song, J., Spalletta, G., Stein, D. J., Stewart, S. E., Storch, E. A., Stranger, B., Stuhrmann, M., Tarnok, Z., Tischfield, J. A., Tubing, J., Visscher, F., Vulink, N., Wagner, M., Walitza, S., Wanderer, S., Woods, M., Worbe, Y., Zai, G., Zinner, S. H., Sullivan, P. F., Franke, B., Daly, M. J., Bulik, C. M., Mcintosh, A. M., O'Donovan, M. C., Zheutlin, A., Andreassen, O. A., Borglum, A. D., Breen, G., Edenberg, H. J., Fanous, A. H., Faraone, S. V., Gelernter, J., Mathews, C. A., Mattheisen, M., Mitchell, K. S., Neale, M. C., Nurnberger, J. I., Ripke, S., Santangelo, S. L., Scharf, J. M., Stein, M. B., Thornton, L. M., Walters, J. T. R., Wray, N. R., Geschwind, D. H., Neale, B. M., Kendler, K. S., and Smoller, J. W.
Subjects: Netherlands Twin Register (NTR), cross-disorder genetics, Medizin, Genome-wide association study, Tourette syndrome, functional genomics, gene expression, genetic architecture, genetic correlation, GWAS, neurodevelopment, pleiotropy, psychiatric disorders, Psychiatric genetics, 0302 clinical medicine, Pleiotropy, functional genomic, WIDE ASSOCIATION, cross-disorder genetic, 0303 health sciences, Mental Disorders, Genetic Pleiotropy, HUMAN BRAIN, INSIGHTS, Autism spectrum disorder, Schizophrenia, DISEASES, GENETIC CORRELATIONS, medicine.medical_specialty, Neurogenesis, Quantitative Trait Loci, BF, Biology, GENOTYPE IMPUTATION, Psychiatric geneticscross-disorder geneticspsychiatric disorderspleiotropyneurodevelopmentGWASgenetic correlationgene expressiongenetic architecturefunctional genomics, Article, General Biochemistry, Genetics and Molecular Biology, psychiatric disorder, 03 medical and health sciences, SDG 3 - Good Health and Well-being, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, TRANSCRIPTOME, Psychiatry, 030304 developmental biology, Gwas, Psychiatric Genetics, Cross-disorder Genetics, Functional Genomics, Gene Expression, Genetic Architecture, Genetic Correlation, Neurodevelopment, Psychiatric Disorders, Neurodevelopmental disorders Donders Center for Medical Neuroscience [Radboudumc 7], IDENTIFICATION, MUTATIONS, medicine.disease, Genetic architecture, DEMETHYLASE, RC0321, 1182 Biochemistry, cell and molecular biology, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Genetic influences on psychiatric disorders transcend diagnostic boundaries, suggesting substantial pleiotropy of contributing loci. However, the nature and mechanisms of these pleiotropic effects remain unclear. We performed analyses of 232,964 cases and 494,162 controls from genome-wide studies of anorexia nervosa, attention-deficit/hyper-activity disorder, autism spectrum disorder, bipolar disorder, major depression, obsessive-compulsive disorder, schizophrenia, and Tourette syndrome. Genetic correlation analyses revealed a meaningful structure within the eight disorders, identifying three groups of inter-related disorders. Meta-analysis across these eight disorders detected 109 loci associated with at least two psychiatric disorders, including 23 loci with pleiotropic effects on four or more disorders and 11 loci with antagonistic effects on multiple disorders. The pleiotropic loci are located within genes that show heightened expression in the brain throughout the lifespan, beginning prenatally in the second trimester, and play prominent roles in neurodevelopmental processes. These findings have important implications for psychiatric nosology, drug development, and risk prediction.
Published: 2019
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23. Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia

Author: Nishantha Kumarasinghe, Brian Kelly, Vaughan J. Carr, Ulrich Schall, Rodney J. Scott, Daniel S. Tylee, Murray J. Cairns, Roel A. Ophoff, Natalie J. Beveridge, Rahul Barve, Ming T. Tsuang, Paul A. Tooney, Antionette Perera, Erin Gardiner, Stephen J. Glatt, Jonathan L. Hess, Jayan Mendis, S.G. Yasawardene, and Simone de Jong
Subjects: 0301 basic medicine, Microarray, Prefrontal Cortex, Biology, Article, Machine Learning, Transcriptome, 03 medical and health sciences, 0302 clinical medicine, microRNA, Humans, Gene, Biological Psychiatry, Genetics, Models, Statistical, Microarray analysis techniques, Gene Expression Profiling, Microarray Analysis, Gene expression profiling, Psychiatry and Mental health, 030104 developmental biology, Psychotic Disorders, Schizophrenia, Gene chip analysis, Biomarker (medicine), Biomarkers, 030217 neurology & neurosurgery
Abstract: The application of microarray technology in schizophrenia research was heralded as paradigm-shifting, as it allowed for high-throughput assessment of cell and tissue function. This technology was widely adopted, initially in studies of postmortem brain tissue, and later in studies of peripheral blood. The collective body of schizophrenia microarray literature contains apparent inconsistencies between studies, with failures to replicate top hits, in part due to small sample sizes, cohort-specific effects, differences in array types, and other confounders. In an attempt to summarize existing studies of schizophrenia cases and non-related comparison subjects, we performed two mega-analyses of a combined set of microarray data from postmortem prefrontal cortices (n = 315) and from ex-vivo blood tissues (n = 578). We adjusted regression models per gene to remove non-significant covariates, providing best-estimates of transcripts dysregulated in schizophrenia. We also examined dysregulation of functionally related gene sets and gene co-expression modules, and assessed enrichment of cell types and genetic risk factors. The identities of the most significantly dysregulated genes were largely distinct for each tissue, but the findings indicated common emergent biological functions (e.g. immunity) and regulatory factors (e.g., predicted targets of transcription factors and miRNA species across tissues). Our network-based analyses converged upon similar patterns of heightened innate immune gene expression in both brain and blood in schizophrenia. We also constructed generalizable machine-learning classifiers using the blood-based microarray data. Our study provides an informative atlas for future pathophysiologic and biomarker studies of schizophrenia.
Published: 2016
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24. Evidence for Genetic Overlap Between Schizophrenia and Age at First Birth in Women

Author: Elodie Drapeau, Robert W. McCarley, Jim van Os, Svetlana A. Limborska, Elvira Bramon, Milan Macek, Divya Mehta, Lieuwe de Haan, Christos Pantelis, Inge Joa, Daniel R. Weinberger, Andrew McQuillin, Lynn E. DeLisi, Ulrich Schall, Tõnu Esko, Digby Quested, Jacob Gratten, Gary Donohoe, Kenneth S. Kendler, Derek W. Morris, Ole A. Andreassen, Peter M. Visscher, Valentina Escott-Price, Lyudmila Georgieva, John L. Waddington, Sara Marsal, Naomi R. Wray, Danielle Posthuma, Benedicto Crespo-Facorro, Rita M. Cantor, Ariel Darvasi, Béla Melegh, Jing Qin Wu, Zhihong Zhu, Kieran C. Murphy, Felix C. Tropf, Inez Myin-Germeys, Antonio Julià, Paul A. Tooney, Frans Henskens, C. Robert Cloninger, Bryan J. Mowry, Larry J. Seidman, Bernard Lerer, Andres Metspalu, Carmel M. Loughland, Mark Weiser, Gibran Hemani, Ann Olincy, Joseph D. Buxbaum, Silviu-Alin Bacanu, Srdjan Djurovic, Andrew M. McIntosh, Jian Yang, Patricia T. Michie, Harold Snieder, Richard Bruggeman, John J. McGrath, Nicola Barban, Rodney J. Scott, Nelson B. Freimer, Timothy G. Dinan, Melinda Mills, S. Hong Lee, David Cohen, Andrey Khrunin, Andrew Bakshi, Murray J. Cairns, Patrik K. E. Magnusson, Draga Toncheva, Universidad de Cantabria, Mehta, Divya, Tropf, Felix C, Gratten, Jacob, Bakshi, Andrew, Zhu, Zhihong, Bacanu, Silviu-Alin, Hemani, Gibran, Magnusson, Patrik KE, Barban, Nicola, Esko, Tonu, 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, Schizophrenia Working Group of the Psychiatric Genomics Consortium, LifeLines Cohort Study, TwinsUK, RS: MHeNs - R2 - Mental Health, MUMC+: MA Psychiatrie (3), MUMC+: Hersen en Zenuw Centrum (3), Psychiatrie & Neuropsychologie, Complex Trait Genetics, Amsterdam Neuroscience - Complex Trait Genetics, Adult Psychiatry, Sociology/ICS, Life Course Epidemiology (LCE), Mehta Divya, Tropf Felix C., Gratten Jacob, Bakshi Andrew, Zhu Zhihong, Bacanu Silviu-Alin, Hemani Gibran, Magnusson Patrik K. E., BARBAN N, Esko Tonu, Metspalu Andre, Snieder Harold, Mowry Bryan J., Kendler Kenneth S., Yang Jian, Visscher Peter M., McGrath John J., Mills Melinda C., Wray Naomi R., and Lee S. Hong
Subjects: 0301 basic medicine, Denmark, Genome-wide association study, genetic risk, Cohort Studies, 0302 clinical medicine, Pregnancy, GWAS, genetics, Psychiatry, RISK, PSYCHIATRIC-DISORDERS, BIPOLAR DISORDER, 3. Good health, Psychiatry and Mental health, Birth order, Phenotype, PATERNAL AGE, Schizophrenia, Female, Maternal Age, Cohort study, Adult, medicine.medical_specialty, Offspring, Article, 03 medical and health sciences, PSYCHOSIS, medicine, Humans, Genetic Predisposition to Disease, Bipolar disorder, Alleles, Genetic association, genome-wide association study, business.industry, medicine.disease, de novo mutation, schizophrenia, 030104 developmental biology, maternal age, DE-NOVO MUTATIONS, Birth Order, business, 030217 neurology & neurosurgery, Genome-Wide Association Study, Demography, first birth
Abstract: IMPORTANCE: A 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. OBJECTIVE: To 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 PARTICIPANTS: This 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 MEASURES: We 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. RESULTS: We 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 RELEVANCE: This 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. This research is supported by grants 613602, 1047956, 1078901, 1080157, 1087889, and 1067795 from the Australian National Health and Medical Research Council and by grants DE130100614 and DP160102126 from the Australian Research Council. Primary analyses of the SchizophreniaWorking Group of the Psychiatric Genomics Consortium data were conducted on the Genetic Cluster Computer (http://www .geneticcluster.org) hosted by SURFsara and supported by grant NOW480-05-003 from the Netherlands Scientific Organization, along with a supplement from the Dutch Brain Foundation and the Vrije Universitiet Amsterdam. TwinsUK was funded by theWellcome Trust, by grant FP7/2007-2013 from the European Community’s Seventh Framework Programme, and by support from the National Institute for Health Research–funded BioResource, Clinical Research Facility, and Biomedical Research Centre based at Guy’s and St Thomas’ National Health Service Foundation Trust in partnership with King’s College London, and single-nucleotide polymorphism genotyping was performed by theWellcome Trust Sanger Institute and National Eye Institute via the National Institute for Health/Center for Inherited Disease Research. Estonian Genome Center Biobank, University of Tartu, received targeted financing by grant IUT20-60 from the Estonian Research Council, Center of Excellence in Genomics, and University of Tartu, and data analyses were carried out in part in the High Performance Computing Center of the University of Tartu. The Swedish Twin Registry is supported by Karolinska Institutet. Mr Tropf received funding from sciencestarter.de for a research visit to The University of Queensland. The research leading to these results received funding from the European Research Council via an ERC Consolidator Grant SOCIOGENOME (grant 615603 awarded to Dr Mills [http://www.sociogenome.com]).
Published: 2016
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25. Altered neural signaling and immune pathways in peripheral blood mononuclear cells of schizophrenia patients with cognitive impairment: A transcriptome analysis

Author: Melissa J. Green, Rodney J. Scott, Murray J. Cairns, Paul A. Tooney, Vaughan J. Carr, Erin Gardiner, and Jing Qin Wu
Subjects: Adult, Male, 0301 basic medicine, Immunology, Central nervous system, Down-Regulation, Gene Expression, Neuropsychological Tests, Peripheral blood mononuclear cell, Transcriptome, 03 medical and health sciences, Behavioral Neuroscience, Cognition, 0302 clinical medicine, ErbB, medicine, Humans, Cognitive Dysfunction, Cognitive decline, Wnt Signaling Pathway, Cognitive deficit, Neurons, Endocrine and Autonomic Systems, Gene Expression Profiling, Wnt signaling pathway, medicine.disease, Up-Regulation, 030104 developmental biology, medicine.anatomical_structure, Schizophrenia, Case-Control Studies, Leukocytes, Mononuclear, Female, medicine.symptom, Psychology, Neuroscience, 030217 neurology & neurosurgery, Signal Transduction
Abstract: Cognitive deficits are a core feature of schizophrenia and contribute significantly to functional disability. We investigated the molecular pathways associated with schizophrenia (SZ; n=47) cases representing both 'cognitive deficit' (CD; n=22) and 'cognitively spared' (CS; n=25) subtypes of schizophrenia (based on latent class analysis of 9 cognitive performance indicators), compared with 49 healthy controls displaying 'normal' cognition. This was accomplished using gene-set analysis of transcriptome data derived from peripheral blood mononuclear cells (PBMCs). We detected 27 significantly altered pathways (19 pathways up-regulated and 8 down-regulated) in the combined SZ group and a further 6 pathways up-regulated in the CS group and 5 altered pathways (4 down-regulated and 1 up-regulated) in the CD group. The transcriptome profiling in SZ and cognitive subtypes were characterized by the up-regulated pathways involved in immune dysfunction (e.g., antigen presentation in SZ), energy metabolism (e.g., oxidative phosphorylation), and down-regulation of the pathways involved in neuronal signaling (e.g., WNT in SZ/CD and ERBB in SZ). When we looked for pathways that differentiated the two cognitive subtypes we found that the WNT signaling was significantly down-regulated (FDR
Published: 2016
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26. Reply to:New Meta- and Mega-analyses of Magnetic Resonance Imaging Findings in Schizophrenia: Do They Really Increase Our Knowledge About the Nature of the Disease Process?

Author: Theo G.M. van Erp, Esther Walton, Derrek P. Hibar, Lianne Schmaal, Wenhao Jiang, David C. Glahn, Godfrey D. Pearlson, Nailin Yao, Masaki Fukunaga, Ryota Hashimoto, Naohiro Okada, Hidenaga Yamamori, Vincent P. Clark, Bryon A. Mueller, Sonja M.C. de Zwarte, Roel A. Ophoff, Neeltje E.M. van Haren, Ole A. Andreassen, Tiril P. Gurholt, Oliver Gruber, Bernd Kraemer, Anja Richter, Vince D. Calhoun, Benedicto Crespo-Facorro, Roberto Roiz-Santiañez, Diana Tordesillas-Gutiérrez, Carmel Loughland, Stanley Catts, Janice M. Fullerton, Melissa J. Green, Frans Henskens, Assen Jablensky, Bryan J. Mowry, Christos Pantelis, Yann Quidé, Ulrich Schall, Rodney J. Scott, Murray J. Cairns, Marc Seal, Paul A. Tooney, Paul E. Rasser, Gavin Cooper, Cynthia Shannon Weickert, Thomas W. Weickert, Elliot Hong, Peter Kochunov, Raquel E. Gur, Ruben C. Gur, Judith M. Ford, Fabio Macciardi, Daniel H. Mathalon, Steven G. Potkin, Adrian Preda, Fengmei Fan, Stefan Ehrlich, Margaret D. King, Lieuwe De Haan, Dick J. Veltman, Francesca Assogna, Nerisa Banaj, Pietro de Rossi, Mariangela Iorio, Fabrizio Piras, Gianfranco Spalletta, Edith Pomarol-Clotet, Sinead Kelly, Simone Ciufolini, Joaquim Radua, Robin Murray, Tiago Reis Marques, Andrew Simmons, Stefan Borgwardt, Fabienne Schönborn-Harrisberger, Anita Riecher-Rössler, Renata Smieskova, Kathryn I. Alpert, Alessandro Bertolino, Aurora Bonvino, Annabella Di Giorgio, Emma Neilson, Andrew R. Mayer, Je-Yeon Yun, Dara M. Cannon, Irina Lebedeva, Alexander S. Tomyshev, Tolibjohn Akhadov, Vasily Kaleda, Helena Fatouros-Bergman, Lena Flyckt, Pedro G.P. Rosa, Mauricio H. Serpa, Marcus V. Zanetti, Cyril Hoschl, Antonin Skoch, Filip Spaniel, David Tomecek, Andrew M. McIntosh, Heather C. Whalley, Christian Knöchel, Viola Oertel-Knöchel, Fleur M. Howells, Dan J. Stein, Henk S. Temmingh, Anne Uhlmann, Carlos Lopez-Jaramillo, Danai Dima, Joshua I. Faskowitz, Boris A. Gutman, Neda Jahanshad, Paul M. Thompson, Jessica A. Turner, Lars Farde, Simon Cervenka, Ingrid Agartz, Karin Collste, Pauliina Victorsson, Göran Engberg, Sophie Erhardt, Lilly Schwieler, Anna Malmqvist, Mikael Hedberg, Funda Orhan, Fredrik Piehl, APH - Mental Health, Adult Psychiatry, Universidad de Cantabria, Child and Adolescent Psychiatry / Psychology, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, Anatomy and neurosciences, Psychiatry, Amsterdam Neuroscience - Brain Imaging, and Amsterdam Neuroscience - Compulsivity, Impulsivity & Attention
Subjects: 0301 basic medicine, Adult, Male, medicine.medical_specialty, Adolescent, Schizophrenia (object-oriented programming), Prefrontal Cortex, BF, Neuroimaging, Mega, Severity of Illness Index, Article, 03 medical and health sciences, Young Adult, 0302 clinical medicine, medicine, Medical imaging, Humans, Medical physics, Disease process, Age of Onset, Child, Biological Psychiatry, Aged, Brain Diseases, medicine.diagnostic_test, Brain, Magnetic resonance imaging, Middle Aged, Magnetic Resonance Imaging, Temporal Lobe, Frontal Lobe, 030104 developmental biology, Case-Control Studies, Linear Models, Schizophrenia, RC0321, Female, Biological psychiatry, Psychology, 030217 neurology & neurosurgery
Abstract: 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.The 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.Compared 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.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
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27. Reduced cortical somatostatin gene expression in a rat model of maternal immune activation

Author: Ryan J. Duchatel, Crystal L. Meehan, Doug W. Smith, Deborah M. Hodgson, Lauren Harms, Phillip Jobling, Paul A. Tooney, Mark J. Bigland, and Patricia T. Michie
Subjects: Male, Cingulate cortex, endocrine system, medicine.medical_specialty, Offspring, Glutamate decarboxylase, Gene Expression, Biology, Gyrus Cinguli, White matter, 03 medical and health sciences, 0302 clinical medicine, Pregnancy, Internal medicine, Gene expression, medicine, Animals, GABAergic Neurons, Rats, Wistar, Biological Psychiatry, Glutamate Decarboxylase, medicine.disease, White Matter, Rats, 030227 psychiatry, Disease Models, Animal, Psychiatry and Mental health, Somatostatin, Endocrinology, medicine.anatomical_structure, Schizophrenia, Prenatal Exposure Delayed Effects, GABAergic, Female, 030217 neurology & neurosurgery
Abstract: Alterations in GABAergic interneurons and glutamic acid decarboxylase (GAD) are observed in the brains of people with schizophrenia. Studies also show increased density of interstitial white matter neurons (IWMN), including those containing GAD and somatostatin (SST) in the brain in schizophrenia. Maternal immune activation can be modelled in rodents to investigate the relationship between prenatal exposure to infections and increased risk of developing schizophrenia. We reported that maternal immune activation induced an increase in density of somatostatin-positive IWMN in the adult rat offspring. Here we hypothesised that maternal immune activation induced in pregnant rats by polyinosinic:polycytidylic acid would alter SST and GAD gene expression as well as increase the density of GAD-positive IWMNs in the adult offspring. SST gene expression was significantly reduced in the cingulate cortex of adult offspring exposed to late gestation maternal immune activation. There was no change in cortical GAD gene expression nor GAD-positive IWMN density in adults rats exposed to maternal immune activation at either early or late gestation. This suggests that our model of maternal immune activation induced by prenatal exposure of rats to polyinosinic:polycytidylic acid during late gestation is able to recapitulate changes in SST but not other GABAergic neuropathologies observed in schizophrenia.
Published: 2019
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28. The effect of a muscarinic receptor 1 gene variant on grey matter volume in schizophrenia

Author: Chad A. Bousman, Paul Klauser, Alex Fornito, Murray J. Cairns, Elizabeth Scarr, Rodney J. Scott, Brian Dean, Paul A. Tooney, Christos Pantelis, and Vanessa Cropley
Subjects: Adult, Male, medicine.medical_specialty, Neuroscience (miscellaneous), Single-nucleotide polymorphism, Schizoaffective disorder, Neuropsychological Tests, Grey matter, Polymorphism, Single Nucleotide, behavioral disciplines and activities, Wisconsin Card Sorting Test, Internal medicine, Genotype, medicine, Humans, Radiology, Nuclear Medicine and imaging, Gray Matter, Receptor, Muscarinic M1, Australia, Cognitive flexibility, Genetic Variation, Organ Size, Voxel-based morphometry, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Psychiatry and Mental health, medicine.anatomical_structure, Endocrinology, Schizophrenia, Female, Cognition Disorders, Psychology, Neuroscience
Abstract: Previous research has demonstrated that individuals with schizophrenia who are homozygous at the c.267C>A single nucleotide polymorphism (rs2067477) within the cholinergic muscarinic M1 receptor (CHRM1) perform less well on the Wisconsin Card Sorting Test (WCST) than those who are heterozygous. This study sought to determine whether variation in the rs2067477 genotype was associated with differential changes in brain structure. Data from 227 patients with established schizophrenia or schizoaffective disorder were obtained from the Australian Schizophrenia Research Bank. Whole-brain voxel-based morphometry was performed to compare regional grey matter volume (GMV) between the 267C/C (N=191) and 267C/A (N=36) groups. Secondary analyses tested for an effect of genotype on cognition (the WCST was not available). Individuals who were homozygous (267C/C) demonstrated significantly reduced GMV in the right precentral gyrus compared to those who were heterozygous (267C/A). These preliminary results suggest that the rs2067477 genotype is associated with brain structure in the right precentral gyrus in individuals with schizophrenia/schizoaffective disorder. Future studies are required to replicate these results and directly link the volumetric reductions with specific cognitive processes.
Published: 2015
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29. Do common genotypes of FK506 binding protein 5 (FKBP5) moderate the effects of childhood maltreatment on cognition in schizophrenia and healthy controls?

Author: Melissa J. Green, Paul A. Tooney, Rodney J. Scott, Vaughan J. Carr, Alessandra Raudino, Murray J. Cairns, and Jing Qin Wu
Subjects: Adult, Male, Repeatable Battery for the Assessment of Neuropsychological Status, Psychosis, medicine.medical_specialty, Genotyping Techniques, Intelligence, Context (language use), Neuropsychological Tests, Linkage Disequilibrium, Tacrolimus Binding Proteins, Cognition, medicine, Humans, Cognitive skill, Psychiatry, Biological Psychiatry, Intelligence Tests, Intelligence quotient, Adult Survivors of Child Abuse, Genetic Variation, medicine.disease, Psychiatry and Mental health, Psychotic Disorders, Sexual abuse, Schizophrenia, Female, Schizophrenic Psychology, Psychology, Clinical psychology
Abstract: Common variants of the FK506 binding protein 5 (FKBP5) gene are implicated in psychotic and other disorders, via their role in regulating glucocorticoid receptor (GR) receptor sensitivity and effects on the broader function of the HPA system in response to stress. In this study, the effects of four FKBP5 polymorphisms (rs1360780, rs9470080, rs4713902, rs9394309) on IQ and eight other cognitive domains were examined in the context of exposure to childhood maltreatment in 444 cases with schizophrenia and 292 healthy controls (from a total sample of 617 cases and 659 controls obtained from the Australian Schizophrenia Research Bank; ASRB). Participants subjected to any kind of maltreatment (including physical, emotional, or sexual abuse or physical or emotional neglect) in childhood were classified as 'exposed'; cognitive functioning was measured with Repeatable Battery for the Assessment of Neuropsychological Status, the Controlled Oral Word Association Test, and IQ was estimated with the Weschler Test of Adult Reading. Hierarchical regressions were used to test the main effects of genotype and childhood maltreatment, and their additive interactive effects, on cognitive function. For rs1360870, there were significant main effects of genotype and childhood maltreatment, and a significant interaction of genotype with childhood trauma affecting attention in both schizophrenia and healthy participants (C-homozygotes in both groups showed worse attention in the context of maltreatment); in SZ, this SNP also affected global neuropsychological function regardless of exposure to childhood trauma, with T-homozygotes showing worse cognition than other genotypes. The mechanisms of trauma-dependent effects of FKBP5 following early life trauma deserve further exploration in healthy and psychotic samples, in the context of epigenetic effects and perhaps epistasis with other genes. Study of these processes may be particularly informative in subgroups exposed to various other forms of early life adversity (i.e., birth complications, immigration).
Published: 2015
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30. Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores

Author: Bjarni J. Vilhjálmsson, Jian Yang, Hilary K. Finucane, Alexander Gusev, Sara Lindström, Stephan Ripke, Giulio Genovese, Po-Ru Loh, Gaurav Bhatia, Ron Do, Tristan Hayeck, Hong-Hee Won, Sekar Kathiresan, Michele Pato, Carlos Pato, Rulla Tamimi, Eli Stahl, Noah Zaitlen, Bogdan Pasaniuc, Gillian Belbin, Eimear E. Kenny, Mikkel H. Schierup, Philip De Jager, Nikolaos A. Patsopoulos, Steve McCarroll, Mark Daly, Shaun Purcell, Daniel Chasman, Benjamin Neale, Michael Goddard, Peter M. Visscher, Peter Kraft, Nick Patterson, Alkes L. Price, Benjamin M. Neale, Aiden Corvin, James T.R. Walters, Kai-How Farh, Peter A. Holmans, Phil Lee, Brendan Bulik-Sullivan, David A. Collier, Hailiang Huang, Tune H. Pers, Ingrid Agartz, Esben Agerbo, Margot Albus, Madeline Alexander, Farooq Amin, Silviu A. Bacanu, Martin Begemann, Richard A. Belliveau, Judit Bene, Sarah E. Bergen, Elizabeth Bevilacqua, Tim B. Bigdeli, Donald W. Black, Richard Bruggeman, Nancy G. Buccola, Randy L. Buckner, William Byerley, Wiepke Cahn, Guiqing Cai, Dominique Campion, Rita M. Cantor, Vaughan J. Carr, Noa Carrera, Stanley V. Catts, Kimberly D. Chambert, Raymond C.K. Chan, Ronald Y.L. Chen, Eric Y.H. Chen, Wei Cheng, Eric F.C. Cheung, Siow Ann Chong, C. Robert Cloninger, David Cohen, Nadine Cohen, Paul Cormican, Nick Craddock, James J. Crowley, David Curtis, Michael Davidson, Kenneth L. Davis, Franziska Degenhardt, Jurgen Del Favero, Lynn E. DeLisi, Ditte Demontis, Dimitris Dikeos, Timothy Dinan, Srdjan Djurovic, Gary Donohoe, Elodie Drapeau, Jubao Duan, Frank Dudbridge, Naser Durmishi, Peter Eichhammer, Johan Eriksson, Valentina Escott-Price, Laurent Essioux, Ayman H. Fanous, Martilias S. Farrell, Josef Frank, Lude Franke, Robert Freedman, Nelson B. Freimer, Marion Friedl, Joseph I. Friedman, Menachem Fromer, Lyudmila Georgieva, Elliot S. Gershon, Ina Giegling, Paola Giusti-Rodrguez, Stephanie Godard, Jacqueline I. Goldstein, Vera Golimbet, Srihari Gopal, Jacob Gratten, Jakob Grove, Lieuwe de Haan, Christian Hammer, Marian L. Hamshere, Mark Hansen, Thomas Hansen, Vahram Haroutunian, Annette M. Hartmann, Frans A. Henskens, Stefan Herms, Joel N. Hirschhorn, Per Hoffmann, Andrea Hofman, Mads V. Hollegaard, David M. Hougaard, Masashi Ikeda, Inge Joa, Antonio Julia, Rene S. Kahn, Luba Kalaydjieva, Sena Karachanak-Yankova, Juha Karjalainen, David Kavanagh, Matthew C. Keller, Brian J. Kelly, James L. Kennedy, Andrey Khrunin, Yunjung Kim, Janis Klovins, James A. Knowles, Bettina Konte, Vaidutis Kucinskas, Zita Ausrele Kucinskiene, Hana Kuzelova-Ptackova, Anna K. Kahler, Claudine Laurent, Jimmy Lee Chee Keong, S. Hong Lee, Sophie E. Legge, Bernard Lerer, Miaoxin Li, Tao Li, Kung-Yee Liang, Jeffrey Lieberman, Svetlana Limborska, Carmel M. Loughland, Jan Lubinski, Jouko Lnnqvist, Milan Macek, Patrik K.E. Magnusson, Brion S. Maher, Wolfgang Maier, Jacques Mallet, Sara Marsal, Manuel Mattheisen, Morten Mattingsdal, Robert W. McCarley, Colm McDonald, Andrew M. McIntosh, Sandra Meier, Carin J. Meijer, Bela Melegh, Ingrid Melle, Raquelle I. Mesholam-Gately, Andres Metspalu, Patricia T. Michie, Lili Milani, Vihra Milanova, Younes Mokrab, Derek W. Morris, Ole Mors, Preben B. Mortensen, Kieran C. Murphy, Robin M. Murray, Inez Myin-Germeys, Bertram Mller-Myhsok, Mari Nelis, Igor Nenadic, Deborah A. Nertney, Gerald Nestadt, Kristin K. Nicodemus, Liene Nikitina-Zake, Laura Nisenbaum, Annelie Nordin, Eadbhard O’Callaghan, Colm O’Dushlaine, F. Anthony O’Neill, Sang-Yun Oh, Ann Olincy, Line Olsen, Jim Van Os, Christos Pantelis, George N. Papadimitriou, Sergi Papiol, Elena Parkhomenko, Michele T. Pato, Tiina Paunio, Milica Pejovic-Milovancevic, Diana O. Perkins, Olli Pietilinen, Jonathan Pimm, Andrew J. Pocklington, John Powell, Alkes Price, Ann E. Pulver, Shaun M. Purcell, Digby Quested, Henrik B. Rasmussen, Abraham Reichenberg, Mark A. Reimers, Alexander L. Richards, Joshua L. Roffman, Panos Roussos, Douglas M. Ruderfer, Veikko Salomaa, Alan R. Sanders, Ulrich Schall, Christian R. Schubert, Thomas G. Schulze, Sibylle G. Schwab, Edward M. Scolnick, Rodney J. Scott, Larry J. Seidman, Jianxin Shi, Engilbert Sigurdsson, Teimuraz Silagadze, Jeremy M. Silverman, Kang Sim, Petr Slominsky, Jordan W. Smoller, Hon-Cheong So, Chris C.A. Spencer, Eli A. Stahl, Hreinn Stefansson, Stacy Steinberg, Elisabeth Stogmann, Richard E. Straub, Eric Strengman, Jana Strohmaier, T. Scott Stroup, Mythily Subramaniam, Jaana Suvisaari, Dragan M. Svrakic, Jin P. Szatkiewicz, Erik Sderman, Srinivas Thirumalai, Draga Toncheva, Paul A. Tooney, Sarah Tosato, Juha Veijola, John Waddington, Dermot Walsh, Dai Wang, Qiang Wang, Bradley T. Webb, Mark Weiser, Dieter B. Wildenauer, Nigel M. Williams, Stephanie Williams, Stephanie H. Witt, Aaron R. Wolen, Emily H.M. Wong, Brandon K. Wormley, Jing Qin Wu, Hualin Simon Xi, Clement C. Zai, Xuebin Zheng, Fritz Zimprich, Naomi R. Wray, Kari Stefansson, Rolf Adolfsson, Ole A. Andreassen, Douglas H.R. Blackwood, Elvira Bramon, Joseph D. Buxbaum, Anders D. Børglum, Sven Cichon, Ariel Darvasi, Enrico Domenici, Hannelore Ehrenreich, Tonu Esko, Pablo V. Gejman, Michael Gill, Hugh Gurling, Christina M. Hultman, Nakao Iwata, Assen V. Jablensky, Erik G. Jonsson, Kenneth S. Kendler, George Kirov, Jo Knight, Todd Lencz, Douglas F. Levinson, Qingqin S. Li, Jianjun Liu, Anil K. Malhotra, Steven A. McCarroll, Andrew McQuillin, Jennifer L. Moran, Bryan J. Mowry, Markus M. Nthen, Roel A. Ophoff, Michael J. Owen, Aarno Palotie, Carlos N. Pato, Tracey L. Petryshen, Danielle Posthuma, Marcella Rietschel, Brien P. Riley, Dan Rujescu, Pak C. Sham, Pamela Sklar, David St. Clair, Daniel R. Weinberger, Jens R. Wendland, Thomas Werge, Mark J. Daly, Patrick F. Sullivan, Michael C. O’Donovan, David J. Hunter, Muriel Adank, Habibul Ahsan, Kristiina Aittomäki, Laura Baglietto, Sonja Berndt, Carl Blomquist, Federico Canzian, Jenny Chang-Claude, Stephen J. Chanock, Laura Crisponi, Kamila Czene, Norbert Dahmen, Isabel dos Santos Silva, Douglas Easton, A. Heather Eliassen, Jonine Figueroa, Olivia Fletcher, Montserrat Garcia-Closas, Mia M. Gaudet, Lorna Gibson, Christopher A. Haiman, Per Hall, Aditi Hazra, Rebecca Hein, Brian E. Henderson, Albert Hofman, John L. Hopper, Astrid Irwanto, Mattias Johansson, Rudolf Kaaks, Muhammad G. Kibriya, Peter Lichtner, Eiliv Lund, Enes Makalic, Alfons Meindl, Hanne Meijers-Heijboer, Bertram Müller-Myhsok, Taru A. Muranen, Heli Nevanlinna, Petra H. Peeters, Julian Peto, Ross L. Prentice, Nazneen Rahman, María José Sánchez, Daniel F. Schmidt, Rita K. Schmutzler, Melissa C. Southey, Ruth Travis, Clare Turnbull, Andre G. Uitterlinden, Rob B. van der Luijt, Quinten Waisfisz, Zhaoming Wang, Alice S. Whittemore, Rose Yang, Wei Zheng, ANS - Amsterdam Neuroscience, Adult Psychiatry, Other departments, CCA -Cancer Center Amsterdam, ARD - Amsterdam Reproduction and Development, Human Genetics, Grove, Jakob, Complex Trait Genetics, Neuroscience Campus Amsterdam - Neurobiology of Mental Health, Vilhjalmsson, Bjarni J, Yang, Jian, Finucane, Hilary K, Gusev, Alexander, Lee, SH, Price, Alkes L, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) study, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Study, Psychosis Endophenotype International Consortium, Wellcome Trust Case Control Consortium, Hereditary Breast and Ovarian Cancer Research Group Netherlands (HEBON), Human genetics, NCA - Brain mechanisms in health and disease, CCA - Oncogenesis, CCA - Quality of life, CCA - Cancer biology and immunology, Psychiatry, Department of Technology and Operations Management, Department of Organisation and Personnel Management, Child and Adolescent Psychiatry / Psychology, Clinical Genetics, Cell biology, and Internal Medicine
Subjects: Multifactorial Inheritance, Linkage disequilibrium, Complex disease, heritability, Bioinformatics, Medical and Health Sciences, Linkage Disequilibrium, 0302 clinical medicine, Theoretical, External reference, Models, Statistics, GWAS, Genetics(clinical), Genetics (clinical), Mathematics, Genetics & Heredity, Schizophrenia Working Group of the Psychiatric Genomics Consortium, 0303 health sciences, Single Nucleotide, Biological Sciences, Serious Mental Illness, Prognosis, Thresholding, Regression, Mental Health, Phenotype, polygenic risk scores, Mixed model, Multiple Sclerosis, Genotype, Quantitative Trait Loci, polygenic risk score, schizophrenia, GWAS, Discovery, Quantitative trait locus, Biology, Polymorphism, Single Nucleotide, Article, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Genetics, Humans, p-value, Pruning (decision trees), Polymorphism, Genome-Wide Association Study, Schizophrenia, Models, Theoretical, 030304 developmental biology, genome-wide association study, and Risk of Inherited Variants in Breast Cancer (DRIVE) study, Brain Disorders, Data set, schizophrenia, Sample size determination, polygenic risk score, Polygenic risk score, 030217 neurology & neurosurgery, linkage disequilibrium
Abstract: Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDpred, a method that infers the posterior mean effect size of each marker by using a prior on effect sizes and LD information from an external reference panel. Theory and simulations show that LDpred outperforms the approach of pruning followed by thresholding, particularly at large sample sizes. Accordingly, predicted R-2 increased from 20.1% to 25.3% in a large schizophrenia dataset and from 9.8% to 12.0% in a large multiple sclerosis dataset. A similar relative improvement in accuracy was observed for three additional large disease datasets and for non-European schizophrenia samples. The advantage of LDpred over existing methods will grow as sample sizes increase. Refereed/Peer-reviewed
Published: 2015
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31. Age effects on cerebral grey matter and their associations with psychopathology, cognition and treatment response in previously untreated schizophrenia patients

Author: A Perera, Lilly Knechtel, Paul M. Thompson, Stewart O. C. Oxley, Jayan Mendis, Paul A. Tooney, Nishantha Kumarasinghe, Ulrich Schall, Paul E. Rasser, and Jessica Bergmann
Subjects: Pediatrics, medicine.medical_specialty, medicine.diagnostic_test, General Neuroscience, Magnetic resonance imaging, Cognition, Grey matter, medicine.disease, Brain mapping, Psychiatry and Mental health, medicine.anatomical_structure, Neuroimaging, Schizophrenia, medicine, Neurology (clinical), Psychology, Neuroscience, Diagnosis of schizophrenia, Psychopathology
Abstract: The diagnosis of schizophrenia lacks a broadly accepted biological basis and its heterogeneity may well represent a group of disorders with different etiologies. Even so, brain imaging can map and quantify structural brain abnormalities in vivo as an intermediate (or endo-) phenotype of the disorder. Brain structural abnormalities occur in the prodromal phase and progress in the course of illness, and patterns of grey matter deficits appear to determine the clinical phenotype, thus addressing some of the diagnostic heterogeneity. Here we examined cerebral grey matter with cortical pattern matching in MRI scans from 18 previously untreated patients meeting DSM-IV diagnostic criteria for schizophrenia by employing a three-dimensional spoiled gradient recalled (SPGR) pulse sequence at 1.5 T. Data were compared to 18 pair-wise age and sex-matched healthy volunteers from the patient communities. We found widespread cerebral grey matter deficits in schizophrenia. Grey matter deficits in the right dorsolateral prefrontal cortex were the strongest predictor of diagnosis. Symptom severity and treatment response were associated with regional grey matter deficits in older patients with a longer history of untreated illness, while significant structure/function associations with cognitive impairment in prefrontal and temporal cortices were found across all ages. Quantitative brain maps are useful for assessing disease burden in schizophrenia, and for understanding its heterogeneity, including its changing clinical characteristics as the illness progresses.
Published: 2014
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32. Antipsychotic drug-associated gene–miRNA interaction in T-lymphocytes

Author: Adam P. Carroll, Murray J. Cairns, Paul A. Tooney, and Erin Gardiner
Subjects: Microarray, Chlorpromazine, T-Lymphocytes, medicine.medical_treatment, Cell Culture Techniques, Gene Expression, Pharmacology, Real-Time Polymerase Chain Reaction, Jurkat cells, Jurkat Cells, microRNA, Haloperidol, Humans, Medicine, Pharmacology (medical), RNA, Messenger, Antipsychotic, Clozapine, business.industry, Microarray analysis techniques, musculoskeletal, neural, and ocular physiology, Microarray Analysis, Neuropsychopharmacology, MicroRNAs, Psychiatry and Mental health, cardiovascular system, business, Antipsychotic Agents, circulatory and respiratory physiology, medicine.drug
Abstract: Antipsychotic drugs (APDs) can have a profound effect on the human body that extends well beyond our understanding of their neuropsychopharmacology. Some of these effects manifest themselves in peripheral blood lymphocytes, and in some cases, particularly in clozapine treatment, result in serious complications. To better understand the molecular biology of APD action in lymphocytes, we investigated the influence of chlorpromazine, haloperidol and clozapine in vitro , by microarray-based gene and microRNA (miRNA) expression analysis. JM-Jurkat T-lymphocytes were cultured in the presence of the APDs or vehicle alone over 2 wk to model the early effects of APDs on expression. Interestingly both haloperidol and clozapine appear to regulate the expression of a large number of genes. Functional analysis of APD-associated differential expression revealed changes in genes related to oxidative stress, metabolic disease and surprisingly also implicated pathways and biological processes associated with neurological disease consistent with current understanding of the activity of APDs. We also identified miRNA–mRNA interaction associated with metabolic pathways and cell death/survival, all which could have relevance to known side effects of APDs. These results indicate that APDs have a significant effect on expression in peripheral tissue that relate to both known mechanisms as well as poorly characterized side effects.
Published: 2014
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33. IMMU-51. PROFILING THE IMMUNE SYSTEM IN PRIMARY AND RECURRENT GLIOBLASTOMA

Author: Ricardo Vilain, Paul A. Tooney, Kelsey Maddison, Nikola A. Bowden, Michael Fay, and Moira C. Graves
Subjects: Cancer Research, business.industry, medicine.medical_treatment, Melanoma, Recurrent glioblastoma, Immunology, Central nervous system, Immunotherapy, medicine.disease, medicine.anatomical_structure, Immune system, Oncology, Cancer research, Medicine, Neurology (clinical), business, Glioblastoma
Abstract: Immunotherapy has been shown to have benefit in some solid tumours including melanoma where immune infiltration can be pronounced. Until recently the central nervous system was thought to be immune privileged. Whilst research has shown that immune cells are capable of infiltrating tumours from glioblastoma patients, to date immunotherapy trials have not consistently shown a benefit in these patients. The aim of this study was to profile the immune system in primary and recurrent tumours from glioblastoma patients. Formalin-fixed paraffin-embedded sections of primary and matched recurrent tumours from 13 patients with glioblastoma were processed for immunohistochemical labelling of a range of immune cell markers. Immune infiltration was scored on digitally scanned immunolabelled sections using a categorical system of 0 (absent), 1 (present), 2 (moderate) and 3 (marked). CD3+ cells were observed in three topographical locations within primary and recurrent glioblastoma tumours namely the tumour proper, perivascular spaces and associated with haemorrhages within the tumour. CD3+ cell infiltration into the tumour proper was present (Score = 1) in 7 of 13 primary and recurrent tumours. Only one case (case #9) had CD3+ infiltration scores > 1 for both primary (score = 3) and recurrent tumour (score = 2). CD3+ cells were observed in perivascular spaces in 10 of the 13 cases of primary and recurrent glioblastoma. Only case #9 had CD3+ cells in perivascular spaces that was scored >1 for both primary and recurrent tumours. In conclusion, whilst CD3+ infiltration was observed in the tumour proper and perivascular spaces within both primary and recurrent glioblastomas, the level of infiltration was quite low in this small cohort and as such requires further investigation in a larger cohort.
Published: 2019
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34. Gene expression profiling in treatment-naive schizophrenia patients identifies abnormalities in biological pathways involving AKT1 that are corrected by antipsychotic medication

Author: Jayan Mendis, Rodney J. Scott, Nishantha Kumarasinghe, Ulrich Schall, Kanishka Suriyakumara, S.G. Yasawardene, A Perera, Erin Gardiner, Natalie J. Beveridge, and Paul A. Tooney
Subjects: Adult, Male, medicine.medical_treatment, Nerve Tissue Proteins, Biology, Pharmacology, Biological pathway, Young Adult, DISC1, medicine, Haloperidol, Humans, Gene Regulatory Networks, Pharmacology (medical), Antipsychotic, Aged, Oligonucleotide Array Sequence Analysis, Psychiatric Status Rating Scales, Extracellular Matrix Proteins, Risperidone, Nuclear Proteins, Middle Aged, medicine.disease, Gene expression profiling, Psychiatry and Mental health, Schizophrenia, Significance analysis of microarrays, Immunology, Leukocytes, Mononuclear, biology.protein, Female, Transcriptome, Proto-Oncogene Proteins c-akt, Antipsychotic Agents, medicine.drug
Abstract: Distinct gene expression profiles can be detected in peripheral blood mononuclear cells (PBMCs) in patients with schizophrenia; however, little is known about the effects of antipsychotic medication. This study compared gene expression profiles in PMBCs from treatment-naive patients with schizophrenia before and after antipsychotic drug treatment. PBMCs were obtained from 10 treatment-naive schizophrenia patients before and 6 wk after initiating antipsychotic drug treatment and compared to PMBCs collected from 11 healthy community volunteers. Genome-wide expression profiling was conducted using Illumina HumanHT-12 expression bead arrays and analysed using significance analysis of microarrays. This analysis identified 624 genes with altered expression (208 up-regulated, 416 down-regulated) prior to antipsychotic treatment (p < 0.05) including schizophrenia-associated genes AKT1, DISC1 and DGCR6. After 6–8 wk treatment of patients with risperidone or risperidone in combination with haloperidol, only 106 genes were altered, suggesting that the treatment corrected the expression of a large proportion of genes back to control levels. However, 67 genes continued to show the same directional change in expression after treatment. Ingenuity® pathway analysis and gene set enrichment analysis implicated dysregulation of biological functions and pathways related to inflammation and immunity in patients with schizophrenia. A number of the top canonical pathways dysregulated in treatment-naive patients signal through AKT1 that was up-regulated. After treatment, AKT1 returned to control levels and less dysregulation of these canonical pathways was observed. This study supports immune dysfunction and pathways involving AKT1 in the aetiopathophysiology of schizophrenia and their response to antipsychotic medication.
Published: 2013
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35. Design and interpretation of microRNA–reporter gene activity

Author: Adam P. Carroll, Paul A. Tooney, and Murray J. Cairns
Subjects: Genetics, Candidate gene, Reporter gene, Biophysics, Cell Biology, Biology, Non-coding RNA, Biochemistry, Genome, MicroRNAs, DISC1, HEK293 Cells, Gene Expression Regulation, Genes, Reporter, microRNA, biology.protein, Humans, Gene silencing, False Positive Reactions, False Negative Reactions, Molecular Biology, Gene
Abstract: MicroRNAs (miRNAs) are small noncoding RNA molecules that act as sequence specificity guides to direct post-transcriptional gene silencing. In doing so, miRNAs regulate many critical developmental processes, including cellular proliferation, differentiation, migration, and apoptosis, as well as more specialized biological functions such as dendritic spine development and synaptogenesis. Interactions between miRNAs and their miRNA recognition elements occur via partial complementarity, rendering tremendous redundancy in targeting such that miRNAs are predicted to regulate 60% of the genome, with each miRNA estimated to regulate more than 200 genes. Because these predictions are prone to false positives and false negatives, there is an ever present need to provide material support to these assertions to firmly establish the biological function of specific miRNAs in both normal and pathophysiological contexts. Using schizophrenia-associated miR-181b as an example, we present detailed guidelines and novel insights for the rapid establishment of a streamlined miRNA-reporter gene assay and explore various design concepts for miRNA-reporter gene applications, including bidirectional miRNA modulation. In exemplifying this approach, we report seven novel miR-181b target sites for five schizophrenia candidate genes (DISC1, BDNF, ENKUR, GRIA1, and GRIK1) and dissect a number of vital concepts regarding future developments for miRNA-reporter gene assays and the interpretation of their results.
Published: 2013
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36. Maturation of the Human Dorsolateral Prefrontal Cortex Coincides With a Dynamic Shift in MicroRNA Expression

Author: Natalie J. Beveridge, Paul A. Tooney, Maree J. Webster, Xi Wang, Murray J. Cairns, Cynthia Shannon Weickert, and Danielle M. Santarelli
Subjects: Adult, Ribonuclease III, Aging, Adolescent, RNA-induced silencing complex, Human Development, Prefrontal Cortex, Tissue Banks, Karyopherins, Biology, DEAD-box RNA Helicases, Young Adult, microRNA, Gene expression, medicine, Humans, Child, Prefrontal cortex, Aged, Genetics, Age Factors, Gene Expression Regulation, Developmental, Infant, RNA, Regular Article, Middle Aged, Cell biology, Dorsolateral prefrontal cortex, MicroRNAs, Psychiatry and Mental health, medicine.anatomical_structure, Cerebral cortex, Child, Preschool, Schizophrenia, biology.protein, Dicer
Abstract: MicroRNA are small RNAs that provide specificity for the RNA induced silencing complex, which forms the basis of an exquisite combinatorial system for posttranscriptional regulation. This system, essential for complex metazoans, is exemplified in the development of the cerebral cortex. To explore the complexity of human cortical miRNA expression in detail, we analyzed RNA from postmortem prefrontal cortex from 97 subjects aged 2 months to 78 years using miRNA microarray. Global miRNA expression was highest in the early years before declining significantly after adolescence (n = 140 decreased, n = 32 increased). Late adolescence was also marked by an inflection point between miRNA on an upward trajectory vs the majority going down. Functional annotation of target genes displaying inverse mRNA expression patterns in the same tissue were overrepresented in neurodevelopmentally significant pathways including neurological disease (most significantly schizophrenia), nervous system development, and cell-to-cell signaling. As mature miRNA expression is largely posttranscriptionally regulated, miRNA biogenesis gene expression was also examined. Dicer and Exportin-5 displayed significant associations with age; however, neither correlated with global miRNA expression across the lifespan. This investigation of cortical miRNA expression provides a framework for understanding the complex posttranscriptional regulatory environment during development and aging that may form a substrate for changes observed in neurodevelopmental disorders.
Published: 2013
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37. Context-specific microRNA function in developmental complexity

Author: Murray J. Cairns, Adam P. Carroll, and Paul A. Tooney
Subjects: Neurons, Regulation of gene expression, Mechanism (biology), Long-Term Potentiation, Gene regulatory network, Context (language use), Cell Biology, General Medicine, Biology, Bioinformatics, MicroRNAs, Gene Expression Regulation, microRNA, Context specific, Genetics, Animals, Humans, Molecular Biology, Gene, Neuroscience, Function (biology)
Abstract: Since their discovery, microRNAs (miRNA) have been implicated in a vast array of biological processes in animals, from fundamental developmental functions including cellular proliferation and differentiation, to more complex and specialized roles such as long-term potentiation and synapse-specific modifications in neurons. This review recounts the history behind this paradigm shift, which has seen small non-coding RNA molecules coming to the forefront of molecular biology, and introduces their role in establishing developmental complexity in animals. The fundamental mechanisms of miRNA biogenesis and function are then considered, leading into a discussion of recent discoveries transforming our understanding of how these molecules regulate gene network behaviour throughout developmental and pathophysiological processes. The emerging complexity of this mechanism is also examined with respect to the influence of cellular context on miRNA function. This discussion highlights the absolute imperative for experimental designs to appreciate the significance of context-specific factors when determining what genes are regulated by a particular miRNA. Moreover, by establishing the timing, location, and mechanism of these regulatory events, we may ultimately understand the true biological function of a specific miRNA in a given cellular environment.
Published: 2013
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38. Gene-microRNA interactions associated with antipsychotic mechanisms and the metabolic side effects of olanzapine

Author: Natalie J. Beveridge, Danielle M. Santarelli, Carlotta E. Duncan, Paul A. Tooney, Bing Liu, Peter R. Schofield, and Murray J. Cairns
Subjects: Olanzapine, medicine.medical_treatment, Protein Array Analysis, Gene regulatory network, Pharmacology, Bioinformatics, Benzodiazepines, Mice, 03 medical and health sciences, 0302 clinical medicine, microRNA, Gene expression, medicine, Animals, Gene Regulatory Networks, Antipsychotic drugs, Antipsychotic, Clozapine, Original Investigation, 030304 developmental biology, 0303 health sciences, business.industry, Brain, MicroRNA, medicine.disease, 3. Good health, Mice, Inbred C57BL, MicroRNAs, Schizophrenia, Pharmacogenomics, Haloperidol, Female, sense organs, business, 030217 neurology & neurosurgery, Antipsychotic Agents, medicine.drug
Abstract: Rationale Changes in the cortical expression of small non-coding microRNA (miRNA) have been observed in postmortem analysis of psychotic disorders. Antipsychotic drugs (APDs) are the most effective treatment option for these disorders and have been associated with changes in gene expression. MicroRNA regulate numerous genes involved in brain development and function. It is therefore plausible to question whether miRNA expression is also altered and hence whether they take part in the neuroleptic mechanism of action. Objectives We sought to investigate whether treatment with APDs induces changes in miRNA expression and query the functional implications of such changes. Furthermore, we investigated the possible functional interplay of miRNA–gene regulatory interactions. Method High-throughput miRNA profiling of the whole brain of C57BL/6 mice treated with haloperidol, olanzapine or clozapine for 7 days was performed. Functional analysis was conducted on the putative targets of altered microRNA. Significant miRNA–gene regulatory interactions were evaluated by the integration of genome-wide mRNA expression analysis using the Bayesian networks with splitting–averaging strategy and functional analysis conducted. Results Small subsets of miRNA were altered with each treatment with potential neurologically relevant influence. Metabolic pathways were enriched in olanzapine and clozapine treatments, possibly associated with their weight gain side effects. Neurologically and metabolically relevant miRNA–gene interaction networks were identified in the olanzapine treatment group. Conclusion This study is the first to suggest a role for miRNA in the mechanism of APD action and the metabolic side effects of the atypical ADPs, and adds support for their consideration in pharmacogenomics. Electronic supplementary material The online version of this article (doi:10.1007/s00213-012-2939-y) contains supplementary material, which is available to authorized users.
Published: 2013
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39. Gene expression analysis reveals schizophrenia-associated dysregulation of immune pathways in peripheral blood mononuclear cells

Author: Murray J. Cairns, Rodney J. Scott, Natalie J. Beveridge, Vaughan J. Carr, Paul A. Tooney, Erin Gardiner, Bing Liu, and Brian Kelly
Subjects: Adult, Male, mRNA, Down-Regulation, Gene Expression, Inflammation, Schizoaffective disorder, Expression, Biology, Peripheral blood mononuclear cell, Article, Cohort Studies, 03 medical and health sciences, 0302 clinical medicine, Immune system, Gene expression, medicine, Humans, RNA, Messenger, Gene, Biological Psychiatry, 030304 developmental biology, Oligonucleotide Array Sequence Analysis, 0303 health sciences, Messenger RNA, Reverse Transcriptase Polymerase Chain Reaction, Gene Expression Profiling, Australia, Middle Aged, medicine.disease, Microarray Analysis, 3. Good health, Up-Regulation, Gene expression profiling, Immune, Psychiatry and Mental health, Immunology, PBMCs, Schizophrenia, Leukocytes, Mononuclear, Female, medicine.symptom, 030217 neurology & neurosurgery, Genome-Wide Association Study
Abstract: Peripheral blood mononuclear cells (PBMCs) represent an accessible tissue source for gene expression profiling in schizophrenia that could provide insight into the molecular basis of the disorder. This study used the Illumina HT_12 microarray platform and quantitative real time PCR (QPCR) to perform mRNA expression profiling on 114 patients with schizophrenia or schizoaffective disorder and 80 non-psychiatric controls from the Australian Schizophrenia Research Bank (ASRB). Differential expression analysis revealed altered expression of 164 genes (59 up-regulated and 105 down-regulated) in the PBMCs from patients with schizophrenia compared to controls. Bioinformatic analysis indicated significant enrichment of differentially expressed genes known to be involved or associated with immune function and regulating the immune response. The differential expression of 6 genes, EIF2C2 (Ago 2), MEF2D, EVL, PI3, S100A12 and DEFA4 was confirmed by QPCR. Genome-wide expression analysis of PBMCs from individuals with schizophrenia was characterized by the alteration of genes with immune system function, supporting the hypothesis that the disorder has a significant immunological component in its etiology.
Published: 2012

40. A contribution of novel CNVs to schizophrenia from a genome-wide study of 41,321 subjects

Author: Aiden Corvin, Kenneth S. Kendler, Jouko Lönnqvist, Patricia T. Michie, Stephanie H. Witt, Annelie Nordin, Robin M. Murray, Benjamin M. Neale, Dermot Walsh, Peter Holmans, Richard A. Belliveau, Jacques Mallet, Matthew C. Keller, Hugh Gurling, Joseph I. Friedman, Giulio Genovese, Andrew Pocklington, Lieuwe de Haan, Marcelo Bertalan, Noa Carrera, Brian Kelly, Lude Franke, Carlos N. Pato, Inez Myin-Germeys, Brandon Wormley, Nicholas John Craddock, Sven Cichon, Manuel Mattheisen, Annette M. Hartmann, Ole A. Andreassen, Masashi Ikeda, Madhusudan Gujral, Edward M. Scolnick, Jeffrey A. Lieberman, Elodie Drapeau, Deborah A. Nertney, Richard Bruggeman, Bertram Müller-Myhsok, Raquelle I. Mesholam-Gately, Ingrid Melle, Jacob Gratten, Ingrid Agartz, Frans Henskens, Stephanie Godard, Andres Metspalu, Mark Weiser, Johan G. Eriksson, Christian R. Marshall, Preben Bo Mortensen, Tõnu Esko, Sarah E. Bergen, Ina Giegling, Carmel M. Loughland, Stephen W. Scherer, Panos Roussos, Colm McDonald, Douglas F. Levinson, David Cohen, Martilias S. Farrell, James J. Crowley, Sibylle G. Schwab, Stephanie Williams, Henrik B. Rasmussen, Wei Cheng, Ann Olincy, Anders D. Børglum, Andreas J. Forstner, Wenting Wu, Benedicto Crespo-Facorro, David J. Kavanagh, Aniket Shetty, Thomas Werge, Daniel P. Howrigan, Gary Donohoe, Stephan Ripke, Jo Knight, Michael Conlon O'Donovan, Erik Söderman, Luba Kalaydjieva, Silviu Alin Bacanu, Dragan M. Svrakic, Brion S. Maher, Alexander Richards, Digby Quested, Eadbhard O' Callaghan, René S. Kahn, Lili Milani, Karin V. Fuentes Fajarado, Mark Hansen, Douglas S. Greer, Sandra Meier, S. Hong Lee, Markus M. Nöthen, Brendan Bulik-Sullivan, Guiqing Cai, Lynn E. DeLisi, Thomas Hansen, Bernard Lerer, Jubao Duan, James T.R. Walters, Ulrich Schall, Ole Mors, Kai-How Farh, Randy L. Buckner, Andrew M. McIntosh, Kung-Yee Liang, Olli Pietiläinen, Colm O. Dushlaine, Paola Giusti-Rodríguez, Srdjan Djurovic, Jaana Suvisaari, Carin J. Meijer, Christos Pantelis, Peter Eichhammer, Nancy G. Buccola, Kristin K. Nicodemus, Phil Lee, Zhouzhi Wang, Dominique Campion, Rita M. Cantor, Ariel Darvasi, Christina M. Hultman, Dan Rujescu, Joshua R. Atkins, Naomi R. Wray, Michael Davidson, Michele T. Pato, Brien P. Riley, Tim B. Bigdeli, Patrik K. E. Magnusson, Aaron R. Wolen, Srinivas Thirumalai, Vahram Haroutunian, Joshua L. Roffman, Tiina Paunio, K Kähler Anna, Thomas G. Schulze, Assen Jablensky, Andrew McQuillin, Kimberley D. Chambert, John Powell, Douglas Blackwood, Ditte Demontis, Daniele Merico, Stefan Herms, Tune H. Pers, Bryan J. Mowry, Eric Strengman, Larry J. Seidman, Pablo V. Gejman, Laura Nisenbaum, Bettina Konte, Jennifer L. Moran, Donald W. Black, Michael Gill, Line Olsen, Aarno Palotie, Robert Freedman, Dalila Pinto, Abraham Reichenberg, Qingqin S. Li, Ann E. Pulver, Mark Reimers, Jurgen Del Favero, Murray J. Cairns, Patrick F. Sullivan, Deborah L. Levy, John L. Waddington, Menachem Fromer, Marcella Rietschel, Jonathan Sebat, Rolf Adolfsson, George Kirov, Veikko Salomaa, David Curtis, Rodney J. Scott, Jin P. Szatkiewicz, Jacqueline I. Goldstein, Tracey L. Petryshen, Nelson B. Freimer, Mads V. Hollegaard, Franziska Degenhardt, David M. Hougaard, Dimitris Dikeos, Pamela Sklar, Diana O. Perkins, Shaun Purcell, Yunjung Kim, Laurent Essioux, Dheeraj Malhotra, Wolfgang Maier, Eli A. Stahl, Per Hoffmann, David A. Collier, Farooq Amin, Juha Karjalainen, William M. Brandler, Clement C. Zai, A. Hofman, Nigel Williams, Hailiang Huang, Joseph D. Buxbaum, Danielle Posthuma, Kieran C. Murphy, Jonathan Pimm, Bradley T. Webb, Joel N. Hirschhorn, Elvira Bramon, Timothy G. Dinan, Jana Strohmaier, Wiepke Cahn, Erik G. Jönsson, F. Anthony O’ Neill, Dieter B. Wildenauer, Michael John Owen, Igor Nenadic, Vaughan J. Carr, Esben Agerbo, Younes Mokrab, Morten Mattingsdal, Elliot S. Gershon, Danny Antaki, Jim van Os, Bhooma Thiruvahindrapuram, Alan R. Sanders, Sang-Yun Oh, Alkes L. Price, Vihra Milanova, Juha Veijola, Chris C. A. Spencer, Nakao Iwata, Jeremy M. Silverman, Mark J. Daly, Elena Parkhomenko, Kenneth L. Davis, Jing Qin Wu, Robert W. McCarley, Steven A. McCarroll, Derek W. Morris, Douglas M. Ruderfer, Josef Frank, C. Robert Cloninger, George N. Papadimitriou, Paul Cormican, Lyudmila Georgieva, Enrico Domenici, Claudine Laurent, James L. Kennedy, Frank Dudbridge, Peter M. Visscher, Valentina Escott-Price, Inge Joa, Marian L. Hamshere, Jianxin Shi, Margot Albus, Jordan W. Smoller, Adam Savitz, T. Scott Stroup, Elizabeth Bevilacqua, James A. Knowles, William Byerley, Madeline Alexander, Stanley V. Catts, David St Clair, Sophie E. Legge, Roel A. Ophoff, Gerald Nestadt, Paul A. Tooney, and Ayman H. Fanous
Subjects: Genetics, 0303 health sciences, Genomics, Biology, medicine.disease, Genome, Phenotype, 3. Good health, 03 medical and health sciences, 0302 clinical medicine, Schizophrenia, Cohort, Etiology, medicine, Copy-number variation, Gene, 030217 neurology & neurosurgery, 030304 developmental biology
Abstract: Genomic copy number variants (CNVs) have been strongly implicated in the etiology of schizophrenia (SCZ). However, apart from a small number of risk variants, elucidation of the CNV contribution to risk has been difficult due to the rarity of risk alleles, all occurring in less than 1% of cases. We sought to address this obstacle through a collaborative effort in which we applied a centralized analysis pipeline to a SCZ cohort of 21,094 cases and 20,227 controls. We observed a global enrichment of CNV burden in cases (OR=1.11, P=5.7e −15 ), which persisted after excluding loci implicated in previous studies (OR=1.07, P=1.7e −6 ). CNV burden is also enriched for genes associated with synaptic function (OR = 1.68, P = 2.8e −11 ) and neurobehavioral phenotypes in mouse (OR = 1.18, P=7.3e −5 ). We identified genome-wide significant support for eight loci, including 1q21.1, 2p16.3 (NRXN1), 3q29, 7q11.2, 15q13.3, distal 16p11.2, proximal 16p11.2 and 22q11.2. We find support at a suggestive level for nine additional candidate susceptibility and protective loci, which consist predominantly of CNVs mediated by non-allelic homologous recombination (NAHR).
Published: 2016
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41. Finding the needle in the haystack: A review of microarray gene expression research into schizophrenia

Author: Nishantha Kumarasinghe, Ulrich Schall, and Paul A. Tooney
Subjects: Temporal cortex, Genetics, medicine.medical_specialty, Gene Expression Profiling, General Medicine, Biology, medicine.disease, Phenotype, Variable Expression, Psychiatry and Mental health, Schizophrenia, Molecular genetics, Gene expression, medicine, Humans, Genetic Predisposition to Disease, Gene, Neuroscience, Oligonucleotide Array Sequence Analysis, Genetic association
Abstract: Background: With an estimated 80% heritability, molecular genetic research into schizophrenia has remained inconclusive. Recent large-scale, genome-wide association studies only identified a small number of susceptibility genes with individually very small effect sizes. However, the variable expression of the phenotype is not well captured in diagnosis-based research as well as when assuming a ‘heterogenic risk model’ (as apposed to a monogenic or polygenic model). Hence, the expression of susceptibility genes in response to environmental factors in concert with other disease-promoting or protecting genes has increasingly attracted attention. Method: The current review summarises findings of microarray gene expression research with relevance to schizophrenia as they emerged over the past decade. Results: Most findings from post mortem, peripheral tissues and animal models to date have linked altered gene expression in schizophrenia to presynaptic function, signalling, myelination, neural migration, cellular immune mechanisms, and response to oxidative stress consistent with multiple small effects of many individual genes. However, the majority of results are difficult to interpret due to small sample sizes (i.e. potential type-2 errors), confounding factors (i.e. medication effects) or lack of plausible neurobiological theory. Conclusion: Nevertheless, microarray gene expression research is likely to play an important role in the future when investigating gene/gene and gene/environment interactions by adopting a neurobiologically sound theoretical framework.
Published: 2012
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42. Imprinted DLK1-DIO3 region of 14q32 defines a schizophrenia-associated miRNA signature in peripheral blood mononuclear cells

Author: Rodney J. Scott, Natalie J. Beveridge, Vaughan J. Carr, Paul A. Tooney, Erin Gardiner, Murray J. Cairns, and Jing Qin Wu
Subjects: Adult, Male, Candidate gene, Adolescent, DNA Copy Number Variations, Down-Regulation, Biology, 03 medical and health sciences, Cellular and Molecular Neuroscience, gene silencing, Genomic Imprinting, 0302 clinical medicine, microRNA, Gene expression, Gene silencing, Humans, Epigenetics, Molecular Biology, 14q32, 030304 developmental biology, Aged, Chromosomes, Human, Pair 14, 0303 health sciences, Microarray analysis techniques, Gene Expression Profiling, Middle Aged, Microarray Analysis, Molecular biology, Cell biology, Gene expression profiling, schizophrenia, Psychiatry and Mental health, MicroRNAs, Case-Control Studies, PBMCs, Leukocytes, Mononuclear, biomarker, Original Article, Female, Genomic imprinting, 030217 neurology & neurosurgery, Biomarkers
Abstract: MicroRNAs (miRNAs) regulate gene expression at the post-transcriptional level and are important for coordinating nervous system development and neuronal function in the mature brain. We have recently identified schizophrenia-associated alteration of cortical miRNA biogenesis and expression in post-mortem brain tissue with implications for the dysregulation of schizophrenia candidate genes. Although these changes were observed in the central nervous system, it is plausible that schizophrenia-associated miRNA expression signatures may also be detected in non-neural tissue. To explore this possibility, we investigated the miRNA expression profile of peripheral blood mononuclear cells (PBMCs) from 112 patients with schizophrenia and 76 non-psychiatric controls. miRNA expression analysis of total RNA conducted using commercial miRNA arrays revealed that 33 miRNAs were significantly downregulated after correction for multiple testing with a false discovery rate (FDR) of 0%, which increased to 83 when we considered miRNA with an FDR
Published: 2011

43. Upregulation of Dicer and MicroRNA Expression in the Dorsolateral Prefrontal Cortex Brodmann Area 46 in Schizophrenia

Author: Natalie J. Beveridge, Danielle M. Santarelli, Murray J. Cairns, and Paul A. Tooney
Subjects: Microarray analysis techniques, Gene Expression Profiling, Matched-Pair Analysis, Prefrontal Cortex, Biology, Up-Regulation, Dorsolateral prefrontal cortex, Gene expression profiling, MicroRNAs, Ribonucleases, medicine.anatomical_structure, Psychotic Disorders, Reference Values, Case-Control Studies, Gene expression, microRNA, Schizophrenia, medicine, biology.protein, Humans, Gene silencing, Prefrontal cortex, Neuroscience, Biological Psychiatry, Dicer
Abstract: Background MicroRNA (miRNA) are capable of regulating multitudes of target genes and are essential factors in mediating healthy neurodevelopment. We hypothesize that abnormal miRNA levels contribute to the complex global changes in gene expression that underlie the pathophysiology of schizophrenia. Methods With a commercial bead array platform, we investigated miRNA expression in 74 samples of postmortem dorsolateral prefrontal cortex (Brodmann Area 46) ( n = 37 matched pairs schizophrenia/schizoaffective disorder and control subjects). A subset of differentially expressed miRNA and genes in the miRNA biogenesis pathway was also analyzed with quantitative reverse transcription-polymerase chain reaction. Gene targets of miRNAs demonstrating significantly altered expression were predicted, and pathways analysis was performed. Results After correction for multiple testing, microarray analysis identified differential expression of 28 miRNA in the schizophrenia group. Significantly, 89% of these molecules were elevated in accordance with earlier work in other brain regions that showed a broad increase in miRNA expression in schizophrenia. These observations were supported by quantitative reverse transcription-polymerase chain reaction, for miR-328, miR-17-5p, miR-134, miR-652, miR-382, and miR-107 and were consistent with a schizophrenia-associated increase in miRNA processing through elevated Dicer expression. Target and pathways analysis provided insight into the potential cellular effects, with particular enrichment of miRNA targets in axon guidance and long-term potentiation. Conclusions These results suggest that schizophrenia is associated with altered miRNA biogenesis and expression, which might have important implications in the complex pathophysiology of the disorder.
Published: 2011
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44. Gray Matter Deficits, Mismatch Negativity, and Outcomes in Schizophrenia

Author: Paul E. Rasser, Paul A. Tooney, Patrick Johnston, Juanita Todd, Vanessa Case, Katrin Helmbold, Paul M. Thompson, Philip B. Ward, Ulrich Schall, A. Soyland, and Patricia T. Michie
Subjects: Adult, Male, Psychosis, Adolescent, Mismatch negativity, Contingent Negative Variation, behavioral disciplines and activities, Temporal lobe, Young Adult, Gyrus, Event-related potential, Activities of Daily Living, mental disorders, medicine, Humans, Aged, Cerebral Cortex, Electroencephalography, Organ Size, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Temporal Lobe, Frontal Lobe, Contingent negative variation, Psychiatry and Mental health, medicine.anatomical_structure, Acoustic Stimulation, Frontal lobe, Cerebral cortex, Case-Control Studies, Evoked Potentials, Auditory, Schizophrenia, Female, Schizophrenic Psychology, Psychology, Neuroscience, Regular Articles
Abstract: Reduced mismatch negativity (MMN) in response to auditory change is a well-established finding in schizophrenia and has been shown to be correlated with impaired daily functioning, rather than with hallmark signs and symptoms of the disorder. In this study, we investigated (1) whether the relationship between reduced MMN and impaired daily functioning is mediated by cortical volume loss in temporal and frontal brain regions in schizophrenia and (2) whether this relationship varies with the type of auditory deviant generating MMN. MMN in response to duration, frequency, and intensity deviants was recorded from 18 schizophrenia subjects and 18 pairwise age- and gender-matched healthy subjects. Patients’ levels of global functioning were rated on the Social and Occupational Functioning Assessment Scale. High-resolution structural magnetic resonance scans were acquired to generate average cerebral cortex and temporal lobe models using cortical pattern matching. This technique allows accurate statistical comparison and averaging of cortical measures across subjects, despite wide variations in gyral patterns. MMN amplitude was reduced in schizophrenia patients and correlated with their impaired day-to-day function level. Only in patients, bilateral gray matter reduction in Heschl's gyrus, as well as motor and executive regions of the frontal cortex, correlated with reduced MMN amplitude in response to frequency deviants, while reduced gray matter in right Heschl's gyrus also correlated with reduced MMN to duration deviants. Our findings further support the importance of MMN reduction in schizophrenia by linking frontotemporal cerebral gray matter pathology to an automatically generated event-related potential index of daily functioning.
Published: 2009
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45. Increased white matter neuron density in a rat model of maternal immune activation - Implications for schizophrenia

Author: Brett A. Graham, Lauren Harms, Ryan J. Duchatel, Deborah M. Hodgson, Phillip Jobling, Patricia T. Michie, and Paul A. Tooney
Subjects: Male, medicine.medical_specialty, Offspring, Fluorescent Antibody Technique, Cell Count, Nerve Tissue Proteins, Corpus callosum, White matter, 03 medical and health sciences, chemistry.chemical_compound, 0302 clinical medicine, Pregnancy, Internal medicine, medicine, Animals, Rats, Wistar, Biological Psychiatry, Pharmacology, Neurons, Sex Characteristics, biology, Brain, Antigens, Nuclear, White Matter, 030227 psychiatry, Cortex (botany), Disease Models, Animal, medicine.anatomical_structure, Somatostatin, Endocrinology, Poly I-C, chemistry, Immune System Diseases, Polyinosinic:polycytidylic acid, Prenatal Exposure Delayed Effects, biology.protein, Schizophrenia, Female, Neuron, NeuN, 030217 neurology & neurosurgery
Abstract: Interstitial neurons are located among white matter tracts of the human and rodent brain. Post-mortem studies have identified increased interstitial white matter neuron (IWMN) density in the fibre tracts below the cortex in people with schizophrenia. The current study assesses IWMN pathology in a model of maternal immune activation (MIA); a risk factor for schizophrenia. Experimental MIA was produced by an injection of polyinosinic:polycytidylic acid (PolyI:C) into pregnant rats on gestational day (GD) 10 or GD19. A separate control group received saline injections. The density of neuronal nuclear antigen (NeuN(+)) and somatostatin (SST(+)) IWMNs was determined in the white matter of the corpus callosum in two rostrocaudally adjacent areas in the 12week old offspring of GD10 (n=10) or GD19 polyI:C dams (n=18) compared to controls (n=20). NeuN(+) IWMN density trended to be higher in offspring from dams exposed to polyI:C at GD19, but not GD10. A subpopulation of these NeuN(+) IWMNs was shown to express SST. PolyI:C treatment of dams induced a significant increase in the density of SST(+) IWMNs in the offspring when delivered at both gestational stages with more regionally widespread effects observed at GD19. A positive correlation was observed between NeuN(+) and SST(+) IWMN density in animals exposed to polyI:C at GD19, but not controls. This is the first study to show that MIA increases IWMN density in adult offspring in a similar manner to that seen in the brain in schizophrenia. This suggests the MIA model will be useful in future studies aimed at probing the relationship between IWMNs and schizophrenia.
Published: 2015

46. CX3CR1 is dysregulated in blood and brain from schizophrenia patients

Author: El Chérif Ibrahim, Florence Pelletier, Rodney J. Scott, Natalie J. Beveridge, Nishantha Kumarasinghe, Bing Liu, Eric Fakra, Olivier Blin, Murray J. Cairns, Paul A. Tooney, Raoul Belzeaux, José Boucraut, Aurélie Bergon, Magali Comte, Erin Gardiner, Mylène Hervé, Ulrich Schall, Vaughan J. Carr, Brian Kelly, Technologies avancées pour le génôme et la clinique (TAGC), Aix Marseille Université (AMU)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Fondation FondaMental [Créteil], Institut de Neurosciences de la Timone (INT), Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS), Centre de recherche en neurobiologie - neurophysiologie de Marseille (CRN2M), Centre for Translational Neuroscience and Mental Health, The University of Newcastle, The Hunter Medical Research Institute, University of Newcastle, Kids Cancer Alliance, Cancer Institute NSW, Department of Psychiatry, Monash University [Clayton], Schizophrenia Research Institute [Sydney], Centre investigation clinique - Unité de pharmacologie clinique et d'évaluations thérapeutiques (CIC-UPCET), Assistance Publique - Hôpitaux de Marseille (APHM), Laboratoire d'Immunologie [Hôpital de la Conception - APHM], Assistance Publique - Hôpitaux de Marseille (APHM)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Hôpital de la Conception [CHU - APHM] (LA CONCEPTION)-Centre National de la Recherche Scientifique (CNRS), Pôle de Psychiatrie, Centre Hospitalier Universitaire de Saint-Etienne [CHU Saint-Etienne] (CHU ST-E), Centre Hospitalier Universitaire de Saint-Etienne (CHU de Saint-Etienne), and Ibrahim, El Chérif
Subjects: Adult, Male, medicine.drug_class, [SDV.MHEP.PSM] Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, CX3C Chemokine Receptor 1, Epigenetics of schizophrenia, Atypical antipsychotic, Down-Regulation, Inflammation, Bioinformatics, [SDV.BBM.BM] Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Real-Time Polymerase Chain Reaction, Cohort Studies, Chemokine receptor, CX3CR1, mental disorders, medicine, Humans, Biological Psychiatry, Microglia, business.industry, Microarray analysis techniques, Brain, [SDV.BBM.BM]Life Sciences [q-bio]/Biochemistry, Molecular Biology/Molecular biology, Middle Aged, medicine.disease, Microarray Analysis, 3. Good health, Psychiatry and Mental health, medicine.anatomical_structure, Schizophrenia, [SDV.MHEP.PSM]Life Sciences [q-bio]/Human health and pathology/Psychiatrics and mental health, Female, Receptors, Chemokine, medicine.symptom, business, Neuroscience, Biomarkers, Antipsychotic Agents
Abstract: International audience; The molecular mechanisms underlying schizophrenia remain largely unknown. Although schizophrenia is a mental disorder, there is increasing evidence to indicate that inflammatory processes driven by diverse environmental factors play a significant role in its development. With gene expression studies having been conducted across a variety of sample types, e.g., blood and postmortem brain, it is possible to investigate convergent signatures that may reveal interactions between the immune and nervous systems in schizophrenia pathophysiology. We conducted two meta-analyses of schizophrenia microarray gene expression data (N = 474) and non-psychiatric control (N = 485) data from postmortem brain and blood. Then, we assessed whether significantly dysregulated genes in schizophrenia could be shared between blood and brain. To validate our findings, we selected a top gene candidate and analyzed its expression by RT-qPCR in a cohort of schizophrenia subjects stabilized by atypical antipsychotic monotherapy (N = 29) and matched controls (N = 31). Meta-analyses highlighted inflammation as the major biological process associated with schizophrenia and that the chemokine receptor CX3CR1 was significantly down-regulated in schizophrenia. This differential expression was also confirmed in our validation cohort. Given both the recent data demonstrating selective CX3CR1 expression in subsets of neuroimmune cells, as well as behavioral and neuropathological observations of CX3CR1 deficiency in mouse models, our results of reduced CX3CR1 expression adds further support for a role played by monocyte/microglia in the neurodevelopment of schizophrenia.
Published: 2015
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47. Altered gene expression in the amygdala in schizophrenia: Up-regulation of genes located in the cytomatrix active zone

Author: Rodney J. Scott, Nikola A. Bowden, Judith Weidenhofer, and Paul A. Tooney
Subjects: Adult, Male, Molecular Sequence Data, Biology, Amygdala, Exocytosis, Cellular and Molecular Neuroscience, Downregulation and upregulation, Gene expression, medicine, Humans, Active zone, Molecular Biology, Gene, Oligonucleotide Array Sequence Analysis, Calcium signaling, Cell Biology, Middle Aged, medicine.disease, Up-Regulation, medicine.anatomical_structure, Gene Expression Regulation, Schizophrenia, Female, Neuroscience
Abstract: The amygdala is implicated in the pathophysiology of schizophrenia through its function in the processing of emotions. However, the genes involved in the dysfunction of the amygdala in schizophrenia are yet to be identified. This study examined gene expression in the amygdala in postmortem tissue from seven matched pairs of schizophrenia and non-psychiatric control subjects, using oligonucleotide-microarrays representing 19,000 gene transcripts and real-time PCR confirmation of gene expression changes in eleven matched pairs. Genes involved in presynaptic function, myelination and cellular signalling were identified as being consistently dysregulated in this cohort of subjects with schizophrenia. In particular, the expression of three genes involved in the cytomatrix active zone, Regulating membrane exocytosis 2, Regulating membrane exocytosis 3 and Piccolo, was up-regulated. These results implicate for the first time the dysfunction of the cytomatrix active zone of synapses in the amygdala in the pathophysiology of schizophrenia.
Published: 2006
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48. The effects of haloperidol treatment on the distribution of NK1 receptor immunoreactive neurons in guinea-pig brain

Author: Ann Lynch-Frame, Loris A. Chahl, Paul A. Tooney, and Wayne B. Anderson
Subjects: Male, Psychosis, medicine.medical_specialty, Quinpirole, Guinea Pigs, Central nervous system, Cell Count, Biology, Guinea pig, Cortex (anatomy), Internal medicine, medicine, Haloperidol, Animals, Drug Interactions, Tissue Distribution, Prefrontal cortex, Neurons, General Neuroscience, Brain, Receptors, Neurokinin-1, medicine.disease, Immunohistochemistry, medicine.anatomical_structure, Endocrinology, Gene Expression Regulation, Dopamine Agonists, Forebrain, Female, Neuron, Antipsychotic Agents, medicine.drug
Abstract: Previous studies have observed increased tachykinin NK 1 receptor immunoreactivity (NK 1 -IR) in the prefrontal cortex in subjects with schizophrenia. Since the subjects were medicated the possibility of a treatment effect could not be excluded. Thus, the present study was undertaken to determine the effect of chronic treatment with the antipsychotic drug, haloperidol, on the distribution of NK 1 -IR neurons in the guinea-pig brain. Guinea pigs were treated each day for 21 days with either haloperidol (1 mg/kg) or vehicle and the brains were then processed for immunohistochemistry using an NK 1 receptor-specific polyclonal antibody. NK 1 -IR neurons and fibres were abundant in the forebrain cortex and caudate putamen and more sparsely distributed in a number of other brain regions. The relative density of NK 1 -IR neurons was significantly increased in the forebrain cortex, but not in the caudate putamen in guinea pigs treated with haloperidol. This study has shown that haloperidol causes region-specific changes to the density of NK 1 -IR neurons. Whether these changes are related to the therapeutic effects or to the side effects of haloperidol in individuals with schizophrenia, remains to be determined.
Published: 2005
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49. Attention: Schizophrenia Risk Gene Product miR-137 Now Targeting EFNB2

Author: Paul A. Tooney
Subjects: 0301 basic medicine, medicine.medical_specialty, Brain development, Schizophrenia (object-oriented programming), Complex disease, lcsh:Medicine, Risk gene, Ephrin-B2, behavioral disciplines and activities, General Biochemistry, Genetics and Molecular Biology, 03 medical and health sciences, 0302 clinical medicine, mental disorders, Humans, Medicine, Genetic Predisposition to Disease, Product (category theory), Psychiatry, 3' Untranslated Regions, Genetic complexity, Regulation of gene expression, lcsh:R5-920, business.industry, lcsh:R, General Medicine, MicroRNAs, mir-137, 030104 developmental biology, Gene Expression Regulation, Schizophrenia, Commentary, RNA Interference, lcsh:Medicine (General), business, Neuroscience, Biomarkers, 030217 neurology & neurosurgery
Abstract: Schizophrenia is a complex disease believed to result from a combination of risk genes and environmental insults that change the trajectory of brain development. For decades researchers have strived to unravel the genetic complexity of schizophrenia, using a variety of approaches. If one can understand the nature of the risk genes, then we might better understand what causes schizophrenia, leading to better diagnosis and treatment strategies.
Published: 2016
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50. Brain antibodies in the cortex and blood of people with schizophrenia and controls

Author: Danny Boerrigter, Samantha J. Fung, Maryanne O'Donnell, Thomas W. Weickert, Dennis T Liu, K Naude, Cherrie Galletly, Vibeke S. Catts, Paul A. Tooney, D Sinclair, Rhoshel K. Lenroot, C. Shannon Weickert, David Brown, and L J Glass
Subjects: Adult, Male, 0301 basic medicine, Proinflammatory cytokine, Pathogenesis, 03 medical and health sciences, Cellular and Molecular Neuroscience, 0302 clinical medicine, Immune system, Cortex (anatomy), medicine, Animals, Humans, Biological Psychiatry, Cerebral Cortex, biology, Human brain, medicine.disease, Macaca mulatta, 3. Good health, Psychiatry and Mental health, 030104 developmental biology, medicine.anatomical_structure, Schizophrenia, Immunoglobulin G, Immunology, biology.protein, Immunohistochemistry, Original Article, Female, Antibody, 030217 neurology & neurosurgery
Abstract: The immune system is implicated in the pathogenesis of schizophrenia, with elevated proinflammatory cytokine mRNAs found in the brains of ~40% of individuals with the disorder. However, it is not clear if antibodies (specifically immunoglobulin-γ (IgG)) can be found in the brain of people with schizophrenia and if their abundance relates to brain inflammatory cytokine mRNA levels. Therefore, we investigated the localization and abundance of IgG in the frontal cortex of people with schizophrenia and controls, and the impact of proinflammatory cytokine status on IgG abundance in these groups. Brain IgGs were detected surrounding blood vessels in the human and non-human primate frontal cortex by immunohistochemistry. IgG levels did not differ significantly between schizophrenia cases and controls, or between schizophrenia cases in ‘high’ and ‘low’ proinflammatory cytokine subgroups. Consistent with the existence of IgG in the parenchyma of human brain, mRNA and protein of the IgG transporter (FcGRT) were present in the brain, and did not differ according to diagnosis or inflammatory status. Finally, brain-reactive antibody presence and abundance was investigated in the blood of living people. The plasma of living schizophrenia patients and healthy controls contained antibodies that displayed positive binding to Rhesus macaque cerebellar tissue, and the abundance of these antibodies was significantly lower in patients than controls. These findings suggest that antibodies in the brain and brain-reactive antibodies in the blood are present under normal circumstances.
Published: 2017
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