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Record W2766662494 · doi:10.1016/j.ajhg.2017.09.008

High Rate of Recurrent De Novo Mutations in Developmental and Epileptic Encephalopathies

2017· review· en· W2766662494 on OpenAlexafffund
Fadi F. Hamdan, Candace T. Myers, Patrick Cossette, Philippe Lemay, Dan Spiegelman, Alexandre D. Laporte, Christina Nassif, Ousmane Diallo, Jean Monlong, Maxime Cadieux‐Dion, Sylvia Dobrzeniecka, Caroline Meloche, Kyle Retterer, Megan T. Cho, Jill A. Rosenfeld, Weimin Bi, Christine Massicotte, Marguerite Miguet, Ledia Brunga, Brigid M. Regan, Kelly Mo, Cory Tam, Amy Schneider, Georgie Hollingsworth, David Fitzpatrick, Alan Donaldson, Natalie Canham, Edward Blair, Bronwyn Kerr, Andrew E. Fry, Rhys H. Thomas, Joss Shelagh, Jane A. Hurst, Helen Brittain, Moira Blyth, Robert Roger Lebel, Erica H. Gerkes, Laura Davis‐Keppen, Quinn Stein, Wendy K. Chung, Sara J. Dorison, Paul J. Benke, Emily Fassi, Nicole Corsten‐Janssen, Erik‐Jan Kamsteeg, Frédéric Tran Mau‐Them, Ange‐Line Bruel, Alain Verloès, Katrin Õunap, Monica H. Wojcik, Dara V.F. Albert, Sunita Venkateswaran, Tyson L. Ware, Dean Jones, Yu‐Chi Liu, Shekeeb S. Mohammad, Peyman Bizargity, Carlos A. Bacino, Vincenzo Leuzzi, Simone Martinelli, Bruno Dallapiccola, Marco Tartaglia, Lubov Blumkin, Klaas J. Wierenga, Gabriela Purcarin, James J. O’Byrne, Sylvia Stöckler, Anna Lehman, Boris Keren, Marie‐Christine Nouguès, Cyril Mignot, Stéphane Auvin, Caroline Nava, Susan M. Hiatt, Martina Bebin, Yunru Shao, Fernando Scaglia, Seema R. Lalani, Richard E. Frye, Imad T. Jarjour, Stéphanie Jacques, Renee-Myriam Boucher, Émilie Riou, Myriam Srour, Lionel Carmant, Anne Lortie, Philippe Major, Paola Diadori, François Dubeau, Guy D’Anjou, Guillaume Bourque, Samuel F. Berkovic, Lynette G. Sadleir, Philippe M. Campeau, Zoha Kibar, Ronald G. Lafrenière, Simon Girard, Saadet Mercimek‐Mahmutoglu, Cyrus Boelman, Guy A. Rouleau, Ingrid E. Scheffer, Heather C. Mefford, Danielle M. Andrade, Elsa Rossignol, Berge A. Minassian, Jacques L. Michaud

Bibliographic record

VenueThe American Journal of Human Genetics · 2017
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsCentre hospitalier universitaire de QuébecCégep de l'Abitibi TémiscamingueChildren's Hospital of Eastern OntarioCentre Hospitalier Universitaire de SherbrookeUniversity of British ColumbiaToronto Western HospitalUniversité du Québec à ChicoutimiUniversité de MontréalHospital for Sick ChildrenUniversité du Québec à MontréalMcGill University and Génome Québec Innovation CentreMontreal Neurological Institute and HospitalMcGill Genome CentreSickKids FoundationUniversité de SherbrookeUniversity of TorontoMcGill UniversityBC Children's HospitalCentre Hospitalier de l’Université de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentNational Human Genome Research InstituteUniversity of TorontoGénome QuébecFondation Jean-Louis LévesqueNational Institute of Neurological Disorders and StrokeNational Institute of General Medical SciencesOntario Brain InstituteGenome Canada
KeywordsGeneticsMissense mutationCandidate geneBiologyGeneIntellectual disabilityEpilepsyWhole genome sequencingMutationGenomeNeuroscience

Abstract

fetched live from OpenAlex
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 imitation

Not 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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.046
GPT teacher head0.338
Teacher spread0.292 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine 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

Citations456
Published2017
Admission routes2
Has abstractno

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Same venueThe American Journal of Human GeneticsSame topicGenomics and Rare DiseasesFrench-language works237,207