← Back to cohort
Identification of common variants associated with human hippocampal and intracranial volumes
Jason L. Stein, Sarah E. Medland, Alejandro Arias Vásquez, Derrek P. Hibar, Rudy E Senstad, Anderson M. Winkler, Roberto Toro, Katja Appel, Richard Barteček, Ørjan Bergmann, Manon Bernard, Andrew Brown, Dara M. Cannon, M. Mallar Chakravarty, Andrea Christoforou, Martin Domín, O. Grimm, Marisa O. Hollinshead, Avram J. Holmes, Georg Homuth, Jouke‐Jan Hottenga, Camilla Langan, Lorna M. Lopez, Narelle K. Hansell, Kristy Hwang, Sungeun Kim, Gonzalo Laje, Phil H. Lee, Xinmin Liu, Eva Loth, Anbarasu Lourdusamy, Morten Mattingsdal, Sebastian Mohnke, Susana Muñoz Maniega, Kwangsik Nho, Allison C. Nugent, Carol O’Brien, Martina Papmeyer, Benno Pütz, Adaikalavan Ramasamy, Jerod M. Rasmussen, Mark Rijpkema, Shannon L. Risacher, J. Cooper Roddey, Emma J. Rose, Mina Ryten, Li Shen, Emma Sprooten, Eric Strengman, Alexander Teumer, Daniah Trabzuni, Jessica A. Turner, Kristel van Eijk, Theo G.M. van Erp, Marie‐José van Tol, Katharina Wittfeld, Christiane Wolf, Saskia Woudstra, André Alemán, Saud Alhusaini, Laura Almasy, Elisabeth B. Binder, David G. Brohawn, Rita M. Cantor, Melanie A. Carless, Aiden Corvin, Michael Czisch, Joanne E. Curran, Gail Davies, Marcio Almeida, Norman Delanty, Chantal Depondt, Ravi Duggirala, Thomas D. Dyer, Susanne Erk, Jesen Fagerness, Peter T. Fox, Michael Gill, Harald H.H. Göring, Donald J. Hagler, David Hoehn, Martine Hoogman, Norbert Hosten, Neda Jahanshad, Matthew P. Johnson, Dalia Kasperavičiūtė, Jack W. Kent, Peter Kochunov, Jack L. Lancaster, Stephen M. Lawrie, David C. Liewald, René C.W. Mandl, Mar Matarín, Manuel Mattheisen, Eva Meisenzahl, Ingrid Melle, Eric K. Moses, Thomas W. Mühleisen, Matthias Nauck, Markus M. Nöthen, Rene L. Olvera, Massimo Pandolfo, G. Bruce Pike, Ralf Puls, Ivar Reinvang, Miguel E. Rentería, Marcella Rietschel, Joshua L. Roffman, Natalie A. Royle, Dan Rujescu, Jonathan Savitz, Hugo G. Schnack, Knut Schnell, Nina Romanczuk‐Seiferth, Colin Smith, Vidar M. Steen, Maria C. Valdés Hernández, Martijn P. van den Heuvel, Nic J. van der Wee, Neeltje E. M. van Haren, Joris A. Veltman, Henry Völzke, Robert Walker, Lars T. Westlye, Christopher D. Whelan, Ingrid Agartz, Dorret I. Boomsma, Gianpiero L. Cavalleri, Anders M. Dale, Srdjan Djurovic, Wayne C. Drevets, Peter Hagoort, Jérémy Hall, Andreas Heinz, Clifford R. Jack, Tatiana Foroud, Stéphanie Le Hellard, Fabìo Macciardi, Grant W. Montgomery, Jean Baptiste Poline, David J. Porteous, Sanjay M. Sisodiya, John M. Starr, Jessika E. Sussmann, Arthur W. Toga, Dick J. Veltman, Henrik Walter, Michael W. Weiner, M. Arfan Ikram, Albert V. Smith, Vilmundur Guðnason, Christophe Tzourio, Meike W. Vernooij, Lenore J. Launer, Charles DeCarli, Sudha Seshadri, Ole A. Andreassen, Liana G. Apostolova, Mark E. Bastin, John Blangero, Han G. Brunner, Randy L. Buckner, Sven Cichon, Giovanni Coppola, Greig I. de Zubicaray, Ian J. Deary, Gary Donohoe, Eco J. C. de Geus, Thomas Espeseth, Guillén Fernández, David C. Glahn, Hans J. Grabe, John Hardy, Hilleke E. Hulshoff Pol, Mark Jenkinson, René S. Kahn, Colm McDonald, Andrew M. McIntosh, Francis J. McMahon, Katie L. McMahon, Andreas Meyer‐Lindenberg, Derek W. Morris, Bertram Müller‐Myhsok, Thomas E. Nichols, Roel A. Ophoff, Tomáš Paus, Zdenka Pausová, Brenda W.J.H. Penninx, Steven G. Potkin, Philipp G. Sämann, Andrew J. Saykin, Günter Schumann, Jordan W. Smoller, Joanna M. Wardlaw, Michael E. Weale, Nicholas G. Martin, Barbara Franke, Margaret J. Wright, Paul M. Thompson
Bibliographic record
VenueNature Genetics · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsMcGill UniversitySickKids FoundationMontreal Neurological Institute and HospitalHospital for Sick ChildrenUniversity of Toronto
FundersNational Center for Research ResourcesNational Institute of Neurological Disorders and StrokeNational Institute of Mental HealthUniversity of California, San DiegoNational Institutes of HealthNational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchIpsenH. Lundbeck A/SServierBundesministerium für Bildung und ForschungNational Institute on AgingNational Institute for Health and Care ResearchPfizerBiogenBioClinicaBayer HealthCareAlzheimer's Disease Neuroimaging InitiativeNederlandse Organisatie voor Wetenschappelijk OnderzoekBiotechnology and Biological Sciences Research CouncilWellcome TrustSynarcCilagMedpaceEisaiHoward Hughes Medical InstituteGenentechAlexander von Humboldt-StiftungDeutsche ForschungsgemeinschaftEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentAlzheimer's Drug Discovery FoundationGlaxoSmithKlineNational Center for Advancing Translational SciencesSchool of Medicine, University of New MexicoCure Alzheimer's FundAstraZenecaU.S. Public Health ServiceEli Lilly and CompanyBristol-Myers SquibbSiemensTauRx PharmaceuticalsHôpitaux Universitaires de GenèveAlzheimer's AssociationFoundation for the National Institutes of Health
KeywordsHippocampal formationBrain sizeGenome-wide association studyBiologyLocus (genetics)HippocampusMagnetic resonance imagingHuman brainNeuroscienceSingle-nucleotide polymorphismGeneticsGenotypeGeneMedicineRadiology
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.005
Threshold uncertainty score0.010
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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 head0.008
GPT teacher head0.268
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 source (direct Gemma or distilled Codex), 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
Citations660
Published2012
Admission routes2
Has abstractno