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Record W2014834804 · doi:10.1210/jc.2002-021521

Long-Term Adiposity Changes Are Related to a Glucocorticoid Receptor Polymorphism in Young Females

2003· article· en· W2014834804 on OpenAlexaffabout
Angelo Tremblay, Luigi Bouchard, Claude Bouchard, Jean‐Pierre Després, Vicky Drapeau, Louis Përusse

Bibliographic record

VenueThe Journal of Clinical Endocrinology & Metabolism · 2003
Typearticle
Languageen
FieldMedicine
TopicHormonal Regulation and Hypertension
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsGlucocorticoid receptorGlucocorticoidInternal medicineEndocrinologyStatistical significancePolymorphism (computer science)GenotypeBiologyMedicineDemographyPhysiologyGeneGenetics

Abstract

fetched live from OpenAlex

Male and female preadolescents and adolescents who participated in phase 1 of the Québec Family Study, and who were retested about 12 yr later, were recruited and subdivided on the basis of a genetic variant within the intron 2 of the glucocorticoid receptor (GRL IVS2-BclI). The increase in sc adiposity over the 12-yr follow-up period in the 4.5/2.3 genotype female subgroup was more than twice that observed in the 4.5/4.5 and the 2.3/2.3 genotype subgroups (P < 0.01). The statistical significance of this difference was essentially unchanged after adjusting for changes, over time, in percent dietary energy as fat, alcohol consumption, and participation in vigorous physical activity. In male subjects, the same trend was found, but it did not reach statistical significance. In conclusion, this study suggests that a significant interaction effect exists between variation in the glucocorticoid receptor gene and body fat gain in female subjects experiencing the transition between adolescence and adulthood. Further research will, however, be necessary to characterize the lifestyle factors promoting fat accumulation, over time, among genetically susceptible individuals.

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 score0.052
Threshold uncertainty score0.104

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 integrity0.0000.000
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 head0.072
GPT teacher head0.376
Teacher spread0.305 · 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

Citations64
Published2003
Admission routes2
Has abstractyes

Explore more

Same venueThe Journal of Clinical Endocrinology & MetabolismSame topicHormonal Regulation and HypertensionFrench-language works237,207