JB
Janita Bralten
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2 records found
1
Preprint
(2021)
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João Guimarães, Barbara Franke, Christian F. Beckmann, Janita Bralten, Emma Sprooten
General factors capturing the shared genetics in psychiatric (genomic p-factor) and cognitive traits (genomic g-factor), and more recently in resting-state functional magnetic resonance imaging-derived brain networks, have contributed to our increased understanding of the etiologies in their respective domains. Yet it remains unclear whether general factors can capture the three-way genetic overlap of psychopathology, cognition and brain function. Here we tested for the presence of this genetic overlap via genetic correlation analyses using summary statistics of genome-wide association studies of the p-factor (N = 162,151 cases and 276,846 controls), the g-factor (N = 269,867), and the two genomic factors estimated from the amplitude in resting-state functional magnetic resonance imaging-derived brain networks (N = 31,688). Unlike hypothesized, only the genetic correlation between the p-factor and the g-factor was significant. We conclude that specific functional brain network constructs may have more potential than their derived general dimensions to capture relevant genetic variation for cognition and psychopathology.
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General factors capturing the shared genetics in psychiatric (genomic p-factor) and cognitive traits (genomic g-factor), and more recently in resting-state functional magnetic resonance imaging-derived brain networks, have contributed to our increased understanding of the etiologies in their respective domains. Yet it remains unclear whether general factors can capture the three-way genetic overlap of psychopathology, cognition and brain function. Here we tested for the presence of this genetic overlap via genetic correlation analyses using summary statistics of genome-wide association studies of the p-factor (N = 162,151 cases and 276,846 controls), the g-factor (N = 269,867), and the two genomic factors estimated from the amplitude in resting-state functional magnetic resonance imaging-derived brain networks (N = 31,688). Unlike hypothesized, only the genetic correlation between the p-factor and the g-factor was significant. We conclude that specific functional brain network constructs may have more potential than their derived general dimensions to capture relevant genetic variation for cognition and psychopathology.
Journal article
(2016)
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Hieab H H Adams, Derrek P. Hibar, Ashley H. Beecham, Lianne Schmaal, Andrew J. Schork, Li Shen, Jean Shin, Elena Shumskaya, Albert V. Smith, Emma Sprooten, Lachlan T. Strike, Alexander Teumer, Russell Thomson, Neda Jahanshad, Diana Tordesillas-Gutierrez, Roberto Toro, Daniah Trabzuni, Dhananjay Vaidya, Jeroen Van Der Grond, Dennis Van Der Meer, Marjolein M J Van Donkelaar, Kristel R. Van Eijk, Theo G M Van Erp, Daan Van Rooij, Katharina Wittfeld, Esther Walton, Lars T. Westlye, Christopher D. Whelan, Beverly G. Windham, Anderson M. Winkler, Girma Woldehawariat, Christiane Wolf, Thomas Wolfers, Bing Xu, Lisa R. Yanek, Sven J. Van Der Lee, Jingyun Yang, Alex Zijdenbos, Marcel P. Zwiers, Ingrid Agartz, Neelum T. Aggarwal, Laura Almasy, David Ames, Philippe Amouyel, Ole A. Andreassen, Sampath Arepalli, Lucija Abramovic, Amelia A. Assareh, Sandra Barral, Mark E. Bastin, Diane M. Becker, James T. Becker, David A. Bennett, John Blangero, Hans Van Bokhoven, Dorret I. Boomsma, Henry Brodaty, Saud Alhusaini, Rachel M. Brouwer, Han G. Brunner, Randy L. Buckner, Jan K. Buitelaar, Kazima B. Bulayeva, Wiepke Cahn, Vince D. Calhoun, Dara M. Cannon, Gianpiero L. Cavalleri, Christopher Chen, Najaf Amin, Ching Yu Cheng, Sven Cichon, Mark R. Cookson, Aiden Corvin, Benedicto Crespo-Facorro, Joanne E. Curran, Michael Czisch, Anders M. Dale, Gareth E. Davies, Eco J C De Geus, Micael Andersson, Philip L. De Jager, Greig I. De Zubicaray, Norman Delanty, Chantal Depondt, Anita L. Destefano, Allissa Dillman, Srdjan Djurovic, Gary Donohoe, Wayne C. Drevets, Ravi Duggirala, Konstantinos Arfanakis, Thomas D. Dyer, Susanne Erk, Thomas Espeseth, Denis A. Evans, Iryna O. Fedko, Guillén Fernández, Luigi Ferrucci, Simon E. Fisher, Debra A. Fleischman, Ian Ford, Benjamin S. Aribisala, Tatiana M. Foroud, Peter T. Fox, Clyde Francks, Masaki Fukunaga, J. Raphael Gibbs, David C. Glahn, Randy L. Gollub, Harald H H Göring, Hans J. Grabe, Robert C. Green, Vincent Chouraki, Nicola J. Armstrong, Oliver Gruber, Vilmundur Gudnason, Sebastian Guelfi, Narelle K. Hansell, John Hardy, Catharina A. Hartman, Ryota Hashimoto, Katrin Hegenscheid, Andreas Heinz, Stephanie Le Hellard, Lavinia Athanasiu, Dena G. Hernandez, Dirk J. Heslenfeld, Beng Choon Ho, Pieter J. Hoekstra, Wolfgang Hoffmann, Albert Hofman, Florian Holsboer, Georg Homuth, Norbert Hosten, Jouke Jan Hottenga, Tomas Axelsson, Hilleke E Hulshoff Pol, Masashi Ikeda, M. Kamran Ikram, Clifford R. Jack, Mark Jenkinson, Robert Johnson, Erik G. Jönsson, J. Wouter Jukema, René S. Kahn, Derek W. Morris, Alexa Beiser, Wiro J. Niessen, More Authors..., Manon Bernard, Joshua C. Bis, Laura M E Blanken, Susan H. Blanton, Marc M. Bohlken, Marco P. Boks, Jason L. Stein, Janita Bralten, Adam M. Brickman, Owen Carmichael, M. Mallar Chakravarty, Ganesh Chauhan, Qiang Chen, Christopher R K Ching, Gabriel Cuellar-Partida, Anouk Den Braber, Nhat Trung Doan, Paul A. Nyquist, Stefan Ehrlich, Irina Filippi, Tian Ge, Sudheer Giddaluru, Aaron L. Goldman, Rebecca F. Gottesman, Corina U. Greven, Oliver Grimm, Michael E. Griswold, Tulio Guadalupe, Miguel E. Rentería, Johanna Hass, Unn K. Haukvik, Saima Hilal, Edith Hofer, David Hoehn, Avram J. Holmes, Martine Hoogman, Deborah Janowitz, Tianye Jia, Dalia Kasperaviciute, Stella Trompet, Sungeun Kim, Marieke Klein, Bernd Kraemer, Phil H. Lee, Jiemin Liao, David C M Liewald, Lorna M. Lopez, Michelle Luciano, Christine Macare, Andre Marquand, Alejandro Arias-Vasquez, Mar Matarin, Karen A. Mather, Manuel Mattheisen, Bernard Mazoyer, David R. McKay, Rebekah McWhirter, Yuri Milaneschi, Nazanin Mirza-Schreiber, Ryan L. Muetzel, Susana Muñoz Maniega, Sudha Seshadri, Kwangsik Nho, Allison C. Nugent, Loes M Olde Loohuis, Jaap Oosterlaan, Martina Papmeyer, Irene Pappa, Lukas Pirpamer, Sara Pudas, Benno Pütz, Kumar B. Rajan, Sylvane Desrivières, Adaikalavan Ramasamy, Jennifer S. Richards, Shannon L. Risacher, Roberto Roiz-Santiañez, Nanda Rommelse, Emma J. Rose, Natalie A. Royle, Tatjana Rundek, Philipp G. Sämann, Claudia L. Satizabal
Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (genetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (N combined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.
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Intracranial volume reflects the maximally attained brain size during development, and remains stable with loss of tissue in late life. It is highly heritable, but the underlying genes remain largely undetermined. In a genome-wide association study of 32,438 adults, we discovered five previously unknown loci for intracranial volume and confirmed two known signals. Four of the loci were also associated with adult human stature, but these remained associated with intracranial volume after adjusting for height. We found a high genetic correlation with child head circumference (genetic = 0.748), which indicates a similar genetic background and allowed us to identify four additional loci through meta-analysis (N combined = 37,345). Variants for intracranial volume were also related to childhood and adult cognitive function, and Parkinson's disease, and were enriched near genes involved in growth pathways, including PI3K-AKT signaling. These findings identify the biological underpinnings of intracranial volume and their link to physiological and pathological traits.