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Record W3008931239 · doi:10.1016/j.ajhg.2020.01.019

Evaluation of DNA Methylation Episignatures for Diagnosis and Phenotype Correlations in 42 Mendelian Neurodevelopmental Disorders

2020· article· en· W3008931239 on OpenAlexaff
Erfan Aref‐Eshghi, Jennifer Kerkhof, Victor P. Pedro, Mouna Barat‐Houari, Nathalie Ruiz-Pallares, Jean‐Christophe Andrau, Didier Lacombe, Julien Van‐Gils, Patricia Fergelot, Christèle Dubourg, Valérie Cormier‐Daire, Sophie Rondeau, François Lecoquierre, Pascale Saugier-Véber, Gaël Nicolas, Gaëtan Lesca, Nicolas Chatron, Damien Sanlaville, Antonio Vitobello, Laurence Faivre, Christel Thauvin‐Robinet, Frédéric Laumonnier, Martine Raynaud, Mariëlle Alders, Marcel M. A. M. Mannens, Peter Henneman, Raoul C. Hennekam, Guillaume Velasco, Claire Francastel, Damien Ulveling, Andrea Ciolfi, Simone Pizzi, Marco Tartaglia, Solveig Heide, Delphine Héron, Cyril Mignot, Boris Keren, Sandra Whalen, Alexandra Afenjar, Thierry Bienvenu, Philippe M. Campeau, Justine Rousseau, Michael A. Levy, Lauren Brick, Mariya Kozenko, Tuğçe B. Balcı, Victoria Mok Siu, Alan Stuart, Mike Kadour, Jennifer Masters, Kyoko Takano, Tjitske Kleefstra, Nicole de Leeuw, Michael Field, Marie Shaw, Jozef Gécz, Peter Ainsworth, Hanxin Lin, David I. Rodenhiser, Michael J. Friez, Matthew L. Tedder, Jennifer A. Lee, Barbara R. DuPont, Roger E. Stevenson, Steven A. Skinner, Charles E. Schwartz, David Geneviève, Bekim Sadiković

Bibliographic record

VenueThe American Journal of Human Genetics · 2020
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEpigenetics and DNA Methylation
Canadian institutionsChildren’s Health Research InstituteSt Joseph's Health CareUniversité de MontréalWestern UniversityMcMaster UniversityLondon Health Sciences Centre
Fundersnot available
KeywordsPenetranceDNA methylationGenetic testingDiseaseMendelian inheritanceIdentification (biology)GeneticsComputational biologyBiologyGenetic heterogeneityBioinformaticsPhenotypeMedicinePathologyGene

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 distilled prediction

Teacher imitation

Not 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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.544
Threshold uncertainty score0.280

Codex and Gemma teacher scores by category

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

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 head0.035
GPT teacher head0.317
Teacher spread0.282 · 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 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

Citations334
Published2020
Admission routes1
Has abstractno

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