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Record W2030123107 · doi:10.1002/ajmg.b.30840

Association of <i>SLITRK1</i> to Gilles de la Tourette Syndrome

2008· article· en· W2030123107 on OpenAlexaff
Débora Marques de Miranda, Karen Wigg, E. Mameisia Kabia, Yu Feng, Paul Sandor, Cathy L. Barr

Bibliographic record

VenueAmerican Journal of Medical Genetics Part B Neuropsychiatric Genetics · 2008
Typearticle
Languageen
FieldPsychology
TopicObsessive-Compulsive Spectrum Disorders
Canadian institutionsHospital for Sick ChildrenUniversity Health Network
FundersU.S. Public Health Service
KeywordsHaplotypeGeneticsProbandTourette syndromeGeneBiologyPolymorphism (computer science)AlleleMutationMedicine

Abstract

fetched live from OpenAlex

Previously the Slit and Trk-like family member 1 (SLITRK1) gene was identified as a candidate gene for Gilles de la Tourette Syndrome (GTS) based on a patient that carried a chromosomal inversion on 13q, as well as the identification of two rare DNA variants in the SLITRK1 gene. Since that report, studies have tested for the two rare variants in GTS and either did not find them, or when found, they did not segregate with the disorder in families, casting doubt on the relationship of this gene to GTS. We tested for these two rare variants and genotyped three polymorphisms that tag the currently identified major haplotypes of this gene in a sample of 154 nuclear families with GTS. In addition, the entire coding region was screened for novel DNA variants. We did not find the two reported rare variants in any of the probands or siblings in these families. We did however find significant evidence for association of a single polymorphism and of haplotypes of the three tagging polymorphisms. These findings provide the first support for the original finding indicating SLITRK1 as a susceptibility gene for GTS and indicate that further study of this gene in GTS is warranted.

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)0.002
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 score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.007
GPT teacher head0.284
Teacher spread0.277 · 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

Citations70
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Journal of Medical Genetics Part B Neuropsychiatric GeneticsSame topicObsessive-Compulsive Spectrum DisordersFrench-language works237,207