← Back to cohort
Identification of evolutionarily conserved gene networks mediating neurodegenerative dementia
Vivek Swarup, Flora I. Hinz, Jessica E. Rexach, K Noguchi, Hiroyoshi Toyoshiba, Akira Oda, Keisuke Hirai, Arjun Sarkar, Nicholas T. Seyfried, Chialin Cheng, Stephen J. Haggarty, Raffaele Ferrari, Jonathan D. Rohrer, Adaikalavan Ramasamy, John Hardy, Dena Hernandez, Andrew Singleton, John B. Kwok, Carol Dobson‐Stone, William S. Brooks, Peter R. Schofield, Glenda M. Halliday, John R. Hodges, Olivier Piguet, Lauren Bartley, Elizabeth Thompson, Eric Haan, Isabel Hernández, Agustı́n Ruiz, Merçé Boada, Barbara Borroni, Alessandro Padovani, Nigel J. Cairns, Carlos Cruchaga, Giuliano Binetti, Roberta Ghidoni, Luisa Benussi, Gianluigi Forloni, Diego Albani, Daniela Galimberti, Chiara Fenoglio, María Serpente, Elio Scarpini, Jordi Clarimón, Alberto Lleó, Rafael Blesa, Maria Landqvist Waldö, Karin Nilsson, Christer Nilsson, Ian R. Mackenzie, Ging‐Yuek Robin Hsiung, David M. A. Mann, Jordan Grafman, Christopher M. Morris, Johannes Attems, Timothy D. Griffiths, Ian G. McKeith, Alan Thomas, Evelyn Jaros, Pietro Pietrini, Edward D. Huey, Eric M. Wassermann, Atik Baborie, Pau Pástor, Sara Ortega‐Cubero, Cristina Razquín, Elena Alonso, Robert Perneczky, Janine Diehl‐Schmid, Panagiotis Alexopoulos, Alexander Kurz, Innocenzo Rainero, Elisa Rubino, Lorenzo Pinessi, Ekaterina Rogaeva, Peter St George‐Hyslop, Giacomina Rossi, Fabrizio Tagliavini, Giorgio Giaccone, James B. Rowe, Johannes C. M. Schlachetzki, James Uphill, John Collinge, Simon Mead, Adrian Danek, Vivianna M. Van Deerlin, Murray Grossman, John Q. Trojanowski, Stuart Pickering‐Brown, Parastoo Momeni, Julie van der Zee, Marc Cruts, Christine Van Broeckhoven, Stefano F. Cappa, Isabelle Leber, Alexis Brice, Didier Hannequin, Véronique Golfier, Martine Vercelletto, Benedetta Nacmias, Sandro Sorbi, Silvia Bagnoli, Irene Piaceri, Jørgen E. Nielsen, Lena E. Hjermind, Manuel Mayhaus, Gilles Gasparoni, Sabrina Pichler, Bernd Ibach, Martin N. Rossor, Nick C. Fox, Jason D. Warren, Maria Grazia Spillantini, Huw R. Morris, Patrizia Rizzu, Peter Heutink, Julie S. Snowden, Sara Rollinson, Alexander Gerhard, Anna Richardson, Amalia C. Bruni, Raffaele Maletta, Francesca Frangipane, Chiara Cupidi, Livia Bernardi, Maria Anfossi, Maura Gallo, Maria Elena Conidi, Nicoletta Smirne, Rosa Rademakers, Matt Baker, Dennis W. Dickson, Neill R. Graff‐Radford, Ronald C. Petersen, David Knopman, Keith A. Josephs, Bradley F. Boeve, Joseph E. Parisi, Bruce L. Miller, Anna M. Karydas, Howard J. Rosen, William W. Seeley, John C. van Swieten, Elise G.P. Dopper, Harro Seelaar, Yolande A.L. Pijnenburg, Philip Scheltens, Giancarlo Logroscino, Rosa Capozzo, Valeria Novelli, Annibale Alessandro Puca, M. Franceschi, Alfredo Postiglione, Graziella Milan, Paolo Sorrentino, Mark Kristiansen, Huei‐Hsin Chiang, Caroline Graff, Florence Pasquier, Adeline Rollin, Vincent Deramecourt, Thibaud Lebouvier, Luigi Ferrucci, Dimitrios Kapogiannis, James J. Lah, Allan I. Levey, Shinichi Kondou, Daniel H. Geschwind
Bibliographic record
VenueNature Medicine · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBioinformatics and Genomic Networks
Canadian institutionsOccupational Cancer Research CentreUniversity of TorontoUniversity of AlbertaUniversity of British Columbia
FundersMedical Research CouncilNational Institutes of HealthNational Institute of Neurological Disorders and StrokeNational Institute for Health and Care ResearchCurePSPLarry L. Hillblom FoundationMayo Foundation for Medical Education and ResearchNational Institute on AgingEmory UniversityEli Lilly and CompanyWellcome TrustArizona Department of Health Services
KeywordsIdentification (biology)GeneDementiaBiologyGeneticsComputational biologyConserved sequenceNeuroscienceEvolutionary biologyDiseaseMedicinePeptide sequenceEcology
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.154
Threshold uncertainty score0.413
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 | 0.000 | 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 head0.006
GPT teacher head0.244
Teacher spread0.238 · 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 designBench or experimental
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
Citations156
Published2018
Admission routes1
Has abstractno