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Record W1989879415 · doi:10.1056/nejmoa0805392

Mutations in <i>SYNGAP1</i> in Autosomal Nonsyndromic Mental Retardation

2009· article· en· W1989879415 on OpenAlexaff
Fadi F. Hamdan, Julie Gauthier, Dan Spiegelman, Anne Noreau, Yanlian Yang, Stéphanie Pellerin, Sylvia Dobrzeniecka, Mélanie Côté, Elizabeth Perreau-Linck, Lionel Carmant, Guy D’Anjou, Éric Fombonne, Anjené Addington, Judith L. Rapoport, Lynn E. DeLisi, Marie‐Odile Krebs, Fayçal Mouaffak, Ridha Joober, Laurent Mottron, Pierre Drapeau, Claude Marineau, Ronald G. Lafrenière, Jean Claude Lacaille, Guy A. Rouleau, Jacques L. Michaud

Bibliographic record

VenueNew England Journal of Medicine · 2009
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsHôpital Rivière-des-PrairiesMcGill UniversityDouglas Mental Health University InstituteCentre Hospitalier de l’Université de MontréalCentre Hospitalier Universitaire Sainte-Justine
FundersNational Institutes of Health
KeywordsAutismGeneticsMedicineSchizophrenia (object-oriented programming)Autism spectrum disorderDevelopmental disorderPsychiatryBiology

Abstract

fetched live from OpenAlex

Although autosomal forms of nonsyndromic mental retardation account for the majority of cases of mental retardation, the genes that are involved remain largely unknown. We sequenced the autosomal gene SYNGAP1, which encodes a ras GTPase-activating protein that is critical for cognition and synapse function, in 94 patients with nonsyndromic mental retardation. We identified de novo truncating mutations (K138X, R579X, and L813RfsX22) in three of these patients. In contrast, we observed no de novo or truncating mutations in SYNGAP1 in samples from 142 subjects with autism spectrum disorders, 143 subjects with schizophrenia, and 190 control subjects. These results indicate that SYNGAP1 disruption is a cause of autosomal dominant nonsyndromic mental retardation.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

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)0.000
metaresearch head score (Gemma)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.008
GPT teacher head0.247
Teacher spread0.239 · 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 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

Citations351
Published2009
Admission routes1
Has abstractyes

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