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Record W2010555956 · doi:10.1139/y04-025

Mutational analysis of the serotonin receptor 5HT2c in severe early-onset human obesity

2004· article· en· W2010555956 on OpenAlexfundvenueno aff
William T. Gibson, Barbara J. Ebersole, Sumit Bhattacharyya, Peter Clayton, I. Sadaf Farooqi, Stuart C. Sealfon, Stephen O’Rahilly

Bibliographic record

VenueCanadian Journal of Physiology and Pharmacology · 2004
Typearticle
Languageen
FieldNeuroscience
TopicRegulation of Appetite and Obesity
Canadian institutionsnot available
FundersNational Institute on Drug AbuseObesity CanadaMedical Research CouncilTHIS Institute, University of CambridgeUniversity of CambridgeNational Institutes of HealthRaymond and Beverly Sackler FoundationWellcome Trust
KeywordsEndocrinologyReceptorMissense mutationObesityInternal medicineBiologyLocus (genetics)GeneSerotoninGeneticsMedicineMutation

Abstract

fetched live from OpenAlex

Deletion of the serotonin receptor 5HT2c in mice results in increased food intake and obesity. We screened 95 individuals with severe early-onset obesity for mutations in the coding sequence of this gene. We found a novel missense variant c.1255A > G (Thr419Ala) in a single Caucasian subject that was not found in 192 Caucasian control subjects. In transiently-transfected COS cells, the Thr419Ala variant was indistinguishable from the wild-type receptor in its ability to generate inositol phosphate, although differences in coupling to other pathways were not excluded. Three previously unreported silent variants: IVS3 + 30G > A, IVS3 + 80C > G and IVS4 - 31A > G were found with prevalences of 11.5%, 0.5% and 17.9%, respectively. In conclusion, mutations in 5HT2c are unlikely to be a common cause of severe early-onset human obesity. The identification of several novel polymorphisms at this locus may aid future genetic epidemiological studies.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.018
GPT teacher head0.281
Teacher spread0.263 · 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 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

Citations19
Published2004
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Physiology and PharmacologySame topicRegulation of Appetite and ObesityFrench-language works237,207