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Genotype-Environment Interaction in Human Obesity

2009· review· en· W2135082450 on OpenAlex
Louis Përusse, Claude Bouchard

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNutrition Reviews · 2009
Typereview
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsUniversité Laval
FundersNational Institute of Diabetes and Digestive and Kidney Diseases
KeywordsObesityBiologyGenotypeGenetic predispositionGene–environment interactionPhenotypeGenetic variationGeneticsIdentification (biology)GeneBioinformaticsEndocrinologyEcology

Abstract

fetched live from OpenAlex

The data reviewed in this paper reveal that individual differences in the response to alterations in energy balance induced by diet or exercise are ubiquitous. These differences are observed in a variety of obesity-related phenotypes, including body weight, body fatness, and abdominal visceral fat. Although little is known about the causes of the heterogeneity in responsiveness to dietary habits or to regular exercise, the evidence accumulated so far suggests that genetic factors may play an important role in determining the response of body mass and body fat stores to chronic alterations in energy balance. It is likely that genetic variation at several genes contributes to this heterogeneity of responses and thus to the susceptibility to obesity. Research on the genetic and molecular basis of gene-environment interactions has become a major area of investigation. One can, therefore, anticipate that major advances will occur in the coming years with respect to the identification of the genetic and molecular causes of the susceptibility to the most common diseases, including obesity.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.969
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.002

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 head0.093
GPT teacher head0.387
Teacher spread0.294 · 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