MétaCan
Menu
Back to cohort
Record W1887013179 · doi:10.1038/ejhg.2015.218

De novo variants in sporadic cases of childhood onset schizophrenia

2015· article· en· W1887013179 on OpenAlexafffund
Amirthagowri Ambalavanan, Simon Girard, Kwangmi Ahn, Sirui Zhou, Alexandre Dionne‐Laporte, Dan Spiegelman, Cynthia V. Bourassa, Julie Gauthier, Fadi F. Hamdan, Lan Xiong, Patrick A. Dion, Ridha Joober, Judith L. Rapoport, Guy A. Rouleau

Bibliographic record

VenueEuropean Journal of Human Genetics · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Rare Diseases
Canadian institutionsMontreal Neurological Institute and HospitalUniversité de MontréalDouglas Mental Health University InstituteMcGill University
FundersCanadian Institutes of Health ResearchGenome Canada
KeywordsProbandExome sequencingMissense mutationGeneticsBiologyAutismLoss functionSchizophrenia (object-oriented programming)ExomeGeneMutationMedicinePhenotypePsychiatry

Abstract

fetched live from OpenAlex

Childhood-onset schizophrenia (COS), defined by the onset of illness before age 13 years, is a rare severe neurodevelopmental disorder of unknown etiology. Recently, sequencing studies have identified rare, potentially causative de novo variants in sporadic cases of adult-onset schizophrenia and autism. In this study, we performed exome sequencing of 17 COS trios in order to test whether de novo variants could contribute to this disease. We identified 20 de novo variants in 17 COS probands, which is consistent with the de novo mutation rate reported in the adult form of the disease. Interestingly, the missense de novo variants in COS have a high likelihood for pathogenicity and were enriched for genes that are less tolerant to variants. Among the genes found disrupted in our study, SEZ6, RYR2, GPR153, GTF2IRD1, TTBK1 and ITGA6 have been previously linked to neuronal function or to psychiatric disorders, and thus may be considered as COS candidate genes.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.019
GPT teacher head0.248
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 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

Citations100
Published2015
Admission routes2
Has abstractyes

Explore more

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