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A genome-wide association study of anorexia nervosa
Christopher S. Franklin, J A B Floyd, Laura M. Thornton, Laura M. Huckins, Lorraine Southam, Nigel W. Rayner, Ioanna Tachmazidou, Kelly L. Klump, Janet Treasure, Cathryn M. Lewis, Ulrike Schmidt, Federica Tozzi, Kirsty Kiezebrink, Johannes Hebebrand, Philip Gorwood, R A H Adan, Martien J. Kas, Angela Favaro, Paolo Santonastaso, Fernando Fernández‐Aranda, Mónica Gratacòs, Filip Rybakowski, Monika Dmitrzak‐Węglarz, Jaakko Kaprio, Anna Keski‐Rahkonen, Anu Raevuori, Eric F. van Furth, M Landt, James I. Hudson, Ted Reichborn‐Kjennerud, G P S Knudsen, Palmiero Monteleone, A S Kaplan, Andreas Karwautz, Håkon Håkonarson, Wade H. Berrettini, Yirin Guo, D Li, Nicholas J. Schork, Gen Komaki, Tetsuya Ando, Hidetoshi Inoko, Tõnu Esko, Krista Fischer, Katrin Männik, Andres Metspalu, Jessica H. Baker, Roger D. Cone, Jennifer Dackor, Janiece E. DeSocio, Christopher Hilliard, Julie K. O’Toole, Jacques Pantel, Jin P. Szatkiewicz, Chrysecolla Taico, Stephanie Zerwas, Sara E. Trace, Oliver S. P. Davis, Sietske G. Helder, Katharina Bühren, Roland Burghardt, Martina de Zwaan, Karin Egberts, Stefan Ehrlich, B Herpertz‐Dahlmann, Wolfgang Herzog, Hartmut Imgart, André Scherag, Susann Scherag, Stephan Zipfel, Claudette Boni, Nicolás Ramoz, Audrey Versini, Marek K. Brandys, Unna N. Danner, Carolien G. F. de Kovel, Judith Hendriks, Bobby P.C. Koeleman, Roel A. Ophoff, E Strengman, Annemarie Elburg, Alice Bruson, Massimo Clementi, Daniela Degortes, Monica Forzan, Elena Tenconi, Elisa Docampo, Geòrgia Escaramís, Susana Jiménez‐Múrcia, Jolanta Lissowska, Andrzej Rajewski, Neonila Szeszenia‐Dąbrowska, Agnieszka Slopien, Joanna Hauser, Leila Karhunen, Ingrid Meulenbelt, P. Eline Slagboom, Alfonso Tortorella, Mario Maj, George Dedoussis, Dimitris Dikeos, Fragiskos Gonidakis, Konstantinos Tziouvas, Άρτεμις Τσίτσικα, Hana Papežová, Lenka Šlachtová, D. Martásková, James L. Kennedy, Robert D. Levitan, Zeynep Yılmaz, Julia Huemer, Doris Koubek, Elisabeth Merl, Gudrun Wagner, Paul Lichtenstein, Gerome Breen, Sarah Cohen‐Woods, Anne Farmer, Peter McGuffin, Sven Cichon, Ina Giegling, Stefan Herms, Dan Rujescu, Stefan Schreiber, H-E Wichmann, Christian Dina, Robert Sladek, Giovanni Gambaro, Nicole Soranzo, Antonio Julià, Sara Marsal, Raquel Rabionet, Valérie Gaborieau, Danielle M. Dick, Aarno Palotie, Samuli Ripatti, Elisabeth Widén, Ole A. Andreassen, Thomas Espeseth, Astri J. Lundervold, Ivar Reinvang, V M Steen, Stéphanie Le Hellard, Morten Mattingsdal, Ιωάννα Ντάλλα, Vladimír Bencko, Lenka Foretová, Vladimír Janout, Marie Navratilova, Steven Gallinger, Dalila Pinto, Stephen W. Scherer, H.N. Aschauer, Laura Carlberg, Alexandra Schosser, Lars Alfredsson, Bo Ding, Lars Klareskog, Leonid Padyukov, Philippe Courtet, Sébastien Guillaume, Isabelle Jaussent, Chris Finan, Gursharan Kalsi, Marion Roberts, Darren W. Logan, Laura‐Maria Peltonen, Karen Ritchie, Jeffrey C. Barrett, Carl A. Anderson, James Floyd, Ralph McGinnis, Eleftheria Zeggini, Jennifer Sambrook, Jonathan Stephens, Willem H. Ouwehand, Wendy L. McArdle, Susan M. Ring, David P. Strachan, Graeme J.M. Alexander, Cynthia M. Bulik, David Collier, Peter J. Conlon, Anna F. Dominiczak, Audrey Duncanson, Adrian V. S. Hill, Cordelia Langford, Graham M. Lord, Alexander P. Maxwell, Linda Morgan, Leena Peltonen, Richard Sandford, Neil Sheerin, Fredrik Vannberg, Hannah Blackburn, Wei‐Min Chen, Sarah Edkins, Emma Gray, Sarah Hunt, Suna Önengüt-Gümüşcü, Simon Potter, Stephen S. Rich, Douglas J. Simpkin, Pamela Whittaker, Xavier Estivill, Anke Hinney, Patrick F. Sullivan
Bibliographic record
VenueMolecular Psychiatry · 2014
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsToronto General HospitalUniversity Health NetworkHospital for Sick ChildrenMcGill University and Génome Québec Innovation CentreMount Sinai HospitalCentre for Addiction and Mental Health
FundersEuropean Social FundNational Center for Research ResourcesNational Institute of Environmental Health SciencesNational Institute of Neurological Disorders and StrokeNational Cancer InstituteNational Institute of Mental HealthNational Institute on Alcohol Abuse and AlcoholismNational Center for Advancing Translational SciencesMedical Research CouncilCanadian Institutes of Health ResearchHeinz Nixdorf StiftungNational Institutes of HealthAgència de Gestió d'Ajuts Universitaris i de RecercaTartu ÜlikoolWellcome TrustWorld Health OrganizationInstitut National de la Recherche AgronomiqueVetenskapsrådetInstituto de Salud Carlos IIIAustrian Science FundEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentZonMwEuropean Regional Development FundBundesministerium für Bildung und ForschungUniversità degli Studi di VeronaInstitut National de la Santé et de la Recherche MédicaleHelsingin YliopistoEuropean CommissionUniversität Duisburg-EssenNederlandse Organisatie voor Wetenschappelijk OnderzoekGeneralitat de CatalunyaLouis and Harold Price FoundationUniverzita Karlova v PrazeGlaxoSmithKlineDeutsche ForschungsgemeinschaftEuropean Science FoundationEli Lilly and Company
KeywordsGenome-wide association studyGenotypingAnorexia nervosaGenetic associationSingle-nucleotide polymorphismGeneticsReplication (statistics)BiologyMeta-analysisGenomeEating disordersGenotypeMedicineGeneInternal medicinePsychiatry
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 score0.016
Threshold uncertainty score0.032
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 | 0.001 |
| 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) | 0.002 | 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 head0.007
GPT teacher head0.270
Teacher spread0.263 · 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
Citations334
Published2014
Admission routes2
Has abstractno