Interaction of <b><i>DRD2/ANKK1 Taq1A</i></b> Genotype with in-Store Retail Food Environment Exposures on Diet Quality in a Cohort of Quebec Adults
Bibliographic record
Abstract
<b><i>Background/Aims:</i></b> Gene-environment interactions may be relevant for nutrition outcomes. This study assessed the interaction between <i>DRD2/ANKK1</i> <i>Taq1A</i> genotype and exposures to in-store retail food environment on diet quality. <b><i>Methods:</i></b> CARTaGENE biobank data (<i>n</i> = 3,532) were linked to provincial food retail data. The Canadian adaptation of the Healthy Eating Index 2010 (HEI-C) was calculated from food frequency questionnaires. Generalized linear models adjusted for sociodemographic factors, anthropometrics, and energy intake were used to assess interactions between the <i>Taq1A</i> variant and retail food measures. <b><i>Results:</i></b> A significant inverse interaction was observed between <i>Taq1A</i> and ice cream store displays on HEI-C score (estimate: –15.46 [95% confidence interval (CI): –24.83, –6.10], <i>p</i> = 0.0012) where, among allele carriers, increasing exposure to ice cream displays was associated with a lower HEI-C score as compared to allele carriers with a lower exposure. A significant positive interaction between <i>Taq1A</i> and price of vegetables was also observed, where, among allele carriers, increasing exposure to a higher price was associated with a higher HEI-C score compared to allele carriers with exposure to a lower price (estimate: 2.46 [95% CI: 0.78, 4.14], <i>p</i> = 0.0041). The opposite pattern was observed among non-carriers. <b><i>Conclusions:</i></b> <i>DRD2/ANKK1</i> <i>Taq1A</i> is associated with adaptive responses to ice cream displays and vegetable prices, suggesting a differential susceptibility to retail environment food cues.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".