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Psychiatric genome-wide association study analyses implicate neuronal, immune and histone pathways
Colm Ó'Dúshláine, Verneri Anttila, Laramie E. Duncan, Mark J. Daly, Soumya Raychaudhuri, Lizzy Rossin, Jordan W. Smoller, Kimberly Chambert, Sarah E. Bergen, Steven A. McCarroll, Edward M. Scolnick, Jennifer L. Moran, Neelroop Parikshak, Cathryn M. Lewis, Philip Asherson, David Collier, Peter McGuffin, Anne Farmer, Jonna Kuntsi, Ian W. Craig, Stephen Newhouse, Douglas M. Ruderfer, Daniëlle Posthuma, Enda M. Byrne, Sang Lee, Naomi R. Wray, Anita Thapar, Ian Jones, Nigel Williams, Detelina Grozeva, Peter Holmans, Michael J. Owen, Pamela Sklar, John S. Witte, Daniel L. Koller, Tatiana Foroud, Richard M. Myers, Devin Absher, Srdjan Djurovic, Morten Mattingsdal, Ingrid Agartz, Huda Akil, Stanley J. Watson, Fan Meng, Robert C. Thompson, Farooq Amin, Khalid Choudhury, Adebayo Anjorin, Robert Krasucki, Andrew McQuillin, Nicholas Bass, Vinay Puri, Jonathan Pimm, Radhika Kandaswamy, Hugh Gurling, Jacob Lawrence, Elaine Kenny, Aiden Corvin, Emma M. Quinn, Gary Donohoe, Michael Gill, Derek W. Morris, Richard Anney, Peter M. Visscher, Paul Cormican, Aravinda Chakravarti, Dan E. Arking, Maria H. Azevedo, Guiomar Oliveira, Lena Backlund, Urban Ösby, Louise Frisén, Martin Schalling, Elliot S. Gershon, Judith A. Badner, Anthony Bailey, Tobias Banaschewski, Jack D. Barchas, Michael R. Barnes, Thomas B. Barrett, Agatino Battaglia, Michael Bauer, Mónica Bayés, Frank Bellivier, Bruno Étain, Marion Leboyer, Patrik K. E. Magnusson, Christina M. Hultman, Paul Lichtenstein, Josephine Elia, Wade H. Berrettini, Falk W. Lohoff, Catalina Betancur, Marcus Ising, Darina Czamara, Susanne Lucae, Florian Holsboer, Thomas Bettecken, Elisabeth B. Binder, Manfred Uhr, Martin Kohli, Joseph Biederman, Donald W. Black, Thomas H. Wassink, James B. Potash, William Coryell, Douglas H. R. Blackwood, Ben Pickard, Donald J. MacIntyre, Kevin A. McGhee, Alan W. McLean, Andrew M. McIntosh, Cinnamon S. Bloss, Dorret I. Boomsma, Eco J. C. de Geus, Gonneke Willemsen, Jouke-Jan Hottenga, Johannes H. Smit, Brenda W.J.H. Penninx, Josef Frank, Marcella Rietschel, Sandra Meier, Jens Treutlein, Stephanie H. Witt, René Breuer, Jana Strohmaier, Richard Bruggeman, Nancy G. Buccola, Barbara Franke, Jan K. Buitelaar, William E. Bunney, Joseph D. Buxbaum, Lauren A. Weiss, Steven P. Hamilton, Sian Caesar, Lisa Jones, René S. Kahn, Wiepke Cahn, Rita M. Cantor, Marta Ribasés, Miguel Casas, Sven Cichon, Stefan Herms, Franziska Degenhardt, Markus M. Noethen, Johannes Schumacher, Peter Propping, Manuel Mattheisen, Thomas Werge, Thomas Folkmann Hansen, Michele L. Pergadia, Andrew C. Heath, Alexandre A. Todorov, C. Robert Cloninger, Pamela A. F. Madden, Edwin H. Cook, William M. McMahon, Hilary Coon, Bru Cormand, David W. Craig, Szabocls Szelinger, Jennifer Crosbie, Russell Schachar, Michael L. Cuccaro, Margaret A. Pericak-Vance, David Curtis, Susmita Datta, Géraldine Dawson, Joseph Piven, K. Matthews, Richard Day, Alysa E. Doyle, Alan R. Sanders, Jubao Duan, Pablo V. Gejman, Frank Dudbridge, Christine M. Freitag, Fritz Poustka, Eftichia Duketis, Richard P. Ebstein, Howard J. Edenberg, Sean Ennis, Stéphane Jamain, Ayman Fanous, Michael C. Neale, Jeremy Parr, I. Nicol Ferrier, Éric Fombonne, Robert Freedman, Ann Olincy, Stan F. Nelson, Nelson B. Freimer, Sandra K. Loo, Dan Rujescu, Ina Giegling, Bettina Konte, Marion Friedl, Annette M. Hartmann, Scott D. Gordon, Sarah E. Medland, Dale R. Nyholt, Nicholas G. Martin, Anjali K. Henders, Grant W. Montgomery, Elaine K. Green, Caroline M. Nievergelt, Tiffany A. Greenwood, John R. Kelsoe, Rebecca McKinney, Paul D. Shilling, Dorothy E. Grice, Jeremy M. Silverman, Magdalena Groß, Wolfgang Maier, Susanne Hoefels, Weihua Guan, Lieuwe de Haan, Jonathan L. Haines, Joachim Hallmayer, Marian L. Hamshere, Martin Hautzinger, Ian B. Hickie, Maria Hipolito, Evaristus Nwulia, William Lawson, Witte J.G. Hoogendijk, Vanessa Hus, Jung‐Ying Tzeng, Matthew C. Keller, Lindsey Kent, Yunjung Kim
Bibliographic record
VenueNature Neuroscience · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsPublic Health OntarioUniversity of British ColumbiaHospital for Sick ChildrenCentre for Addiction and Mental HealthSickKids FoundationUniversity of TorontoMcGill University
FundersFogarty International CenterNational Institute of General Medical SciencesNational Institute of Mental HealthMedical Research CouncilKing's College LondonNational Institute for Health and Care ResearchNational Cancer InstituteLundbeckfondenVrije Universiteit AmsterdamSouth London and Maudsley NHS Foundation Trust
KeywordsNeuroscienceGenome-wide association studyHistoneImmune systemAssociation (psychology)BiologyNeuroscientistNeuroimmunologyPsychologyGeneticsGeneCentral nervous systemSingle-nucleotide polymorphismOligodendrocyte
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)0.002
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 score0.006
Threshold uncertainty score0.014
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| 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) | 0.004 | 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 head0.037
GPT teacher head0.340
Teacher spread0.304 · 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
Citations798
Published2015
Admission routes1
Has abstractno