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Genetic influences on schizophrenia and subcortical brain volumes: large-scale proof of concept
Barbara Franke, Jason L. Stein, Stephan Ripke, Verneri Anttila, Derrek P. Hibar, K.J.E. van Hulzen, Alejandro Arias Vásquez, Jordan W. Smoller, Thomas E. Nichols, Michael C. Neale, Andrew M. McIntosh, Phil Lee, Francis J. McMahon, Andreas Meyer‐Lindenberg, Manuel Mattheisen, Ole A. Andreassen, Oliver Gruber, Perminder S. Sachdev, Robert Roiz-Santiañez, Andrew J. Saykin, Stefan Ehrlich, Karen A. Mather, Jessica A. Turner, Emanuel Schwarz, Anbupalam Thalamuthu, Yvonne Ho, Nicholas G. Martin, Margaret J. Wright, Michael O‘Donovan, Paul M. Thompson, Benjamin M. Neale, Sarah E. Medland, Patrick F. Sullivan
Bibliographic record
VenueNature Neuroscience · 2016
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsnot available
FundersScottish Mental Health Research NetworkNational Center for Research ResourcesNational Institute of Biomedical Imaging and BioengineeringNational Institute of Diabetes and Digestive and Kidney DiseasesNational Institute of Mental HealthStrategic Research CouncilNational Health and Medical Research CouncilKnut och Alice Wallenbergs StiftelseEuropean CommissionCanadian Institutes of Health ResearchAthinoula A. Martinos Center for Biomedical Imaging, Massachusetts General HospitalStanley Center for Psychiatric Research, Broad InstituteNational Institutes of HealthBiogenHøjteknologifondenRamsay Health CareH. Lundbeck A/SMedical Research CouncilAcademy of FinlandServierTartu ÜlikoolUppsala UniversitetUniversity of New South WalesRadboud Universitair Medisch CentrumUniversitair Medisch Centrum GroningenBiomedical Research CouncilUniversitetet i BergenKarolinska InstitutetLundbeckfondenAccareNational Cancer InstituteEuropean Regional Development FundMax-Planck-GesellschaftBergens ForskningsstiftelseSvenska Forskningsrådet FormasVrije Universiteit AmsterdamVetenskapsrådetUniversiteit UtrechtStockholms Läns LandstingNorges ForskningsrådNational Medical Research CouncilUniversiteit LeidenAustralian Schizophrenia Research BankNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftGenentechBundesministerium für Bildung und ForschungMedpaceStanley Medical Research InstituteBritish Heart FoundationAgency for Science, Technology and ResearchNorthern California Institute for Research and EducationCentre d'Imagerie BioMédicaleEisaiLeids Universitair Medisch CentrumRiksbankens JubileumsfondFoundation for the National Institutes of HealthNational Alliance for Research on Schizophrenia and DepressionHersenstichtingU.S. Department of DefenseCommonwealth Scientific and Industrial Research OrganisationNational Institute for Health and Care ResearchPratt FoundationNHS Blood and TransplantSylvia and Charles Viertel Charitable FoundationSeventh Framework ProgrammeNovartis Pharmaceuticals CorporationUniversity of California, San DiegoWellcome TrustJohns Hopkins UniversityPfizerNational Institute on AgingUniversität GreifswaldAustralian Research CouncilBioClinicaUniversity of MelbourneScience for Life LaboratoryAkademiska SjukhusetHarvard UniversityBroad InstituteAustralian GovernmentF. Hoffmann-La RocheSynarcMax Planck Instituut voor PsycholinguïstiekEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentUniversity of Southern CaliforniaScience Foundation IrelandNational Science FoundationScottish Funding CouncilMassachusetts General HospitalGlaxoSmithKlineRadboud UniversiteitEli Lilly and CompanyAlzheimer's Disease Neuroimaging InitiativeMax-Planck-FörderstiftungAutism SpeaksBristol-Myers SquibbIXICOAlfried Krupp von Bohlen und Halbach-StiftungAlzheimer's AssociationNational Institute of Neurological Disorders and StrokeBritish Medical AssociationU.S. Department of Veterans AffairsAarhus UniversitetMeso Scale DiagnosticsZonMwStrategiske Forskningsråd
KeywordsSchizophrenia (object-oriented programming)Genetic architectureHeritabilityNeuroscienceImaging geneticsGenome-wide association studyBrain sizeNeuroimagingGenetic associationGenetic correlationEndophenotypePsychologyPhenotypeGenetic variationBiologyPsychiatryGeneticsMedicineCognitionSingle-nucleotide polymorphismGeneGenotype
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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.008
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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 head0.014
GPT teacher head0.316
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreReview
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
Citations234
Published2016
Admission routes1
Has abstractno