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Record W2797831397 · doi:10.1016/j.ajhg.2018.03.004

Truncating Variants in NAA15 Are Associated with Variable Levels of Intellectual Disability, Autism Spectrum Disorder, and Congenital Anomalies

2018· article· en· W2797831397 on OpenAlexaff
Hanyin Cheng, Avinash V. Dharmadhikari, Sylvia Varland, Nan Ma, Deepti Domingo, Robert Kleyner, Alan F. Rope, Margaret S. Yoon, Asbjørg Stray‐Pedersen, Jennifer E. Posey, Sarah R. Crews, Mohammad K. Eldomery, Zeynep Coban‐Akdemir, Andrea M. Lewis, V. Reid Sutton, Jill A. Rosenfeld, Erin Conboy, Katherine Agre, Fan Xia, Magdalena Walkiewicz, Mauro Longoni, Frances A. High, Marjon A. van Slegtenhorst, Grazia M.S. Mancini, Candice R. Finnila, Arie van Haeringen, Nicolette S. den Hollander, Claudia Ruivenkamp, Sakkubai Naidu, Sonal Mahida, Elizabeth E. Palmer, Lucinda Murray, Derek Lim, Parul Jayakar, Michael Parker, Stefania Giusto, Emanuela Stracuzzi, Corrado Romano, Jennifer S. Beighley, Raphael Bernier, Sébastien Küry, Mathilde Nizon, Mark Corbett, Marie Shaw, Alison Gardner, Christopher Barnett, Ruth Armstrong, Karin S. Kassahn, Anke Van Dijck, Geert Vandeweyer, Tjitske Kleefstra, Jolanda Schieving, Marjolijn J. Jongmans, Bert B.A. de Vries, Rolph Pfundt, Bronwyn Kerr, Samantha K. Rojas, Kym M. Boycott, Richard Person, Rebecca Willaert, Evan E. Eichler, R. Frank Kooy, Yaping Yang, Joseph C. Wu, James R. Lupski, Thomas Arnesen, Gregory M. Cooper, Wendy K. Chung, Jozef Gécz, Holly A.F. Stessman, Linyan Meng, Gholson J. Lyon

Bibliographic record

VenueThe American Journal of Human Genetics · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsChildren's Hospital of Eastern OntarioUniversity of Ottawa
FundersNational Institute of Mental HealthNational Heart, Lung, and Blood InstituteNational Institutes of HealthEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentMinnesota Department of HealthDepartment of Health and Aged Care, Australian GovernmentNational Institute of General Medical SciencesNational Institute for Health and Care ResearchCold Spring Harbor LaboratoryBaylor-Hopkins Center for Mendelian GenomicsNational Human Genome Research InstituteWellcome TrustNorges ForskningsrådKreftforeningenJohns Hopkins UniversitySimons Foundation Autism Research InitiativeHoward Hughes Medical Institute
KeywordsAutism spectrum disorderIntellectual disabilityMedicineAutismPediatricsPsychologyGeneticsPsychiatryBiology

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)0.000
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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
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 head0.013
GPT teacher head0.243
Teacher spread0.229 · 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 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

Citations88
Published2018
Admission routes1
Has abstractno

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