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Genetic architecture of subcortical brain structures in 38,851 individuals
Claudia L. Satizábal, Hieab H.H. Adams, Derrek P. Hibar, Charles C. White, Maria J. Knol, Jason L. Stein, Markus Scholz, Muralidharan Sargurupremraj, Neda Jahanshad, Gennady V. Roshchupkin, Albert V. Smith, Joshua C. Bis, Xueqiu Jian, Michelle Luciano, Edith Hofer, Alexander Teumer, Sven J. van der Lee, Jingyun Yang, Lisa R. Yanek, Tom V. Lee, Shuo Li, Yanhui Hu, Jia Yu Koh, John D. Eicher, Sylvane Desrivières, Alejandro Arias Vásquez, Ganesh Chauhan, Lavinia Athanasiu, Miguel E. Rentería, Sung Eun Kim, David Hoehn, Nicola J. Armstrong, Qiang Chen, Avram J. Holmes, Anouk den Braber, Iwona Kłoszewska, Micael Andersson, Thomas Espeseth, O. Grimm, Lucija Abramovic, Saud Alhusaini, Yuri Milaneschi, Martina Papmeyer, Tomas Axelsson, Stefan Ehrlich, Roberto Roiz‐Santiáñez, Bernd Kraemer, Asta K. Håberg, Hannah Jones, G. Bruce Pike, Dan J. Stein, Allison Stevens, Janita Bralten, Meike W. Vernooij, Tamara B. Harris, Irina Filippi, A. Veronica Witte, Tulio Guadalupe, Katharina Wittfeld, Thomas H. Mosley, James T. Becker, Nhat Trung Doan, Saskia P. Hagenaars, Yasaman Saba, Gabriel Cuéllar-Partida, Najaf Amin, Saima Hilal, Kwangsik Nho, Nazanin Mirza‐Schreiber, Konstantinos Arfanakis, Diane M. Becker, David Ames, Aaron L. Goldman, Phil Hyu Lee, Dorret I. Boomsma, Simon Lovestone, Sudheer Giddaluru, Stéphanie Le Hellard, Manuel Mattheisen, Marc M. Bohlken, Dalia Kasperavičiūtė, Lianne Schmaal, Stephen M. Lawrie, Ingrid Agartz, Esther Walton, Diana Tordesillas‐Gutiérrez, Gareth E. Davies, Jean Shin, Jonathan Ipser, Louis Vinke, Martine Hoogman, Tianye Jia, Ralph Burkhardt, Marieke Klein, Fabrice Crivello, Deborah Janowitz, Owen Carmichael, Unn K. Haukvik, Benjamin S. Aribisala, Helena Schmidt, Lachlan T. Strike, Ching‐Yu Cheng, Shannon L. Risacher, Benno Pütz, Debra Fleischman, Amelia A. Assareh, Venkata S. Mattay, Randy L. Buckner, Patrizia Mecocci, Anders M. Dale, Sven Cichon, Marco P. Boks, Mar Matarín, Brenda W.J.H. Penninx, Vince D. Calhoun, M. Mallar Chakravarty, André F. Marquand, Christine Macare, Shahrzad Kharabian Masouleh, Jaap Oosterlaan, Philippe Amouyel, Katrin Hegenscheid, Jerome I. Rotter, Andrew J. Schork, David C. Liewald, Greig I. de Zubicaray, Tien Yin Wong, Li Shen, Philipp G. Sämann, Henry Brodaty, Joshua L. Roffman, Eco J. C. de Geus, Magda Tsolaki, Susanne Erk, Kristel R. van Eijk, Gianpiero L. Cavalleri, Nic J. A. van der Wee, Andrew M. McIntosh, Randy L. Gollub, Kazima Bulayeva, Manon Bernard, Jennifer S. Richards, Jayandra J. Himali, Markus Loeffler, Nanda Rommelse, Wolfgang Hoffmann, Lars T. Westlye, Maria C. Valdés Hernández, Narelle K. Hansell, Theo G.M. van Erp, Christiane Wolf, John B. Kwok, Bruno Vellas, Andreas Heinz, Loes M. Olde Loohuis, Norman Delanty, Beng‐Choon Ho, Christopher R. K. Ching, Alena Shumskaya, Baljeet Singh, Albert Hofman, Dennis van der Meer, Georg Homuth, Bruce M. Psaty, Mark E. Bastin, Grant W. Montgomery, Tatiana Foroud, Simone Reppermund, Jouke‐Jan Hottenga, Andrew Simmons, Andreas Meyer‐Lindenberg, Wiepke Cahn, Christopher D. Whelan, Marjolein M. J. van Donkelaar, Qiong Yang, Norbert Hosten, Robert C. Green, Anbupalam Thalamuthu, Sebastian Mohnke, Hilleke E. Hulshoff Pol, Honghuang Lin, Clifford R. Jack, Peter R. Schofield, Thomas W. Mühleisen, Pauline Maillard, Steven G. Potkin, Wei Wen, Evan Fletcher, Arthur W. Toga, Oliver Gruber, Matthew J. Huentelman, George Davey Smith, Lenore J. Launer, Lars Nyberg, Erik G. Jönsson, Benedicto Crespo‐Facorro, Nastassja Koen, Douglas N. Greve, André G. Uitterlinden, Daniel R. Weinberger, Vidar M. Steen, Iryna O. Fedko, Nynke A. Groenewold, Wiro J. Niessen, Roberto Toro, Christophe Tzourio, W.T. Longstreth, Muhammad Ikram, Jordan W. Smoller, Marie‐José van Tol, Jessika E. Sussmann, Tomáš Paus, Hervé Lemaître, M. Schroeter, Bernard Mazoyer, Ole A. Andreassen, Chantal Depondt, Dick J. Veltman, Jessica A. Turner, Zdenka Pausová, Günter Schumann, Daan van Rooij, Srdjan Djurovic, Ian J. Deary, Katie L. McMahon, Bertram Müller-Myhsok, Rachel M. Brouwer, Hilkka Soininen, Massimo Pandolfo, Thomas H. Wassink, J. Cheung, Thomas Wolfers, Jean-Luc Martinot, Marcel P. Zwiers, Matthias Nauck, Ingrid Melle, Nicholas G. Martin, Ryota Kanai, Eric Westman, René S. Kahn, Sanjay M. Sisodiya, Tonya White, Arvin Saremi, Hans van Bokhoven, Han G. Brunner, Henry Völzke, Margaret J. Wright, Dennis van ‘t Ent, Markus M. Nöthen, Roel A. Ophoff, Jan K. Buitelaar, Guillén Fernández, Perminder S. Sachdev, Marcella Rietschel, Neeltje E.M. van Haren, Simon E. Fisher, Alexa Beiser, Clyde Francks, Andrew J. Saykin, Karen A. Mather, Nina Romanczuk‐Seiferth, Catharina A. Hartman, Anita L. DeStefano, Dirk J. Heslenfeld, Michael Weiner, Henrik Walter, Pieter J. Hoekstra, Paul Nyquist, Barbara Franke, David A. Bennett, Hans J. Grabe, Andrew D. Johnson, Christopher Chen, Cornelia M. van Duijn, Oscar L. Lopez, Myriam Fornage, Joanna M. Wardlaw, Reinhold Schmidt, Charles DeCarli, Philip L. De Jager, Arno Villringer, Stéphanie Debette, Vilmundur Guðnason, Sarah E. Medland, Joshua Shulman, Paul M. Thompson, Sudha Seshadri, M. Arfan Ikram
Bibliographic record
VenueNature Genetics · 2019
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsHolland Bloorview Kids Rehabilitation HospitalMcGill UniversityUniversity of CalgaryDouglas Mental Health University InstituteUniversity of TorontoSickKids FoundationHospital for Sick Children
FundersMedical Research FoundationNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Medical Research CouncilNational Center for Advancing Translational SciencesMedical Research CouncilNational Health and Medical Research CouncilNorges ForskningsrådCanadian HIV Trials Network, Canadian Institutes of Health ResearchNederlandse Organisatie voor Wetenschappelijk OnderzoekNational Center for Research ResourcesAgence Nationale de la RechercheDeutsche ForschungsgemeinschaftInstituto de Salud Carlos IIIMrs Gladys Row Fogo Charitable TrustFonds De La Recherche Scientifique - FNRSMinisterio de Economía y CompetitividadDepartment of Biotechnology, Ministry of Science and Technology, IndiaResearch Councils UKSouth African Medical Research CouncilNational Institute on AgingAlzheimer's AssociationBiotechnology and Biological Sciences Research CouncilMichael J. Fox Foundation for Parkinson's ResearchLundbeckfondenNational Institute of General Medical SciencesBurroughs Wellcome FundU.S. Department of Health and Human Services
KeywordsBiologyGenetic architectureNeuroscienceEvolutionary biologyComputational biologyGeneticsCognitive scienceGenePsychologyPhenotype
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score0.848
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
Opus teacher head0.005
GPT teacher head0.265
Teacher spread0.260 · how far apart the two teachers sit on this one work
Validation status
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".
Quick stats
Citations288
Published2019
Admission routes2
Has abstractno