Western Dietary Pattern Interaction with APOC3 Polymorphism in the Risk of Metabolic Syndrome: Tehran Lipid and Glucose Study
Bibliographic record
Abstract
BACKGROUND/AIMS: Gene-dietary pattern interactions may contribute to the determination of a susceptibility to metabolic syndrome (MetS). The aim of this study was to evaluate the potential interactions of dietary patterns with the common genetic variant of APOC3 in relation to MetS in adults. METHODS: In this individual matched nested case-control study, 755 MetS subjects and 755 controls were selected from among participants in the Tehran Lipid and Glucose Study. Dietary patterns were determined by factor analysis. APOC3 3238C>G rs5128 was genotyped by polymerase chain reaction and restriction fragment length polymorphism. RESULTS: Fat-sweet, healthy and Western dietary patterns (WDP) were extracted from the data. In the joint analysis, the associations of the WDP and APOC3 rs5128 with MetS risk tended to be dependent on APOC3 3238C>G gene variants (p for interaction = 0.009) in women. The MetS risk was increased in women with the CC genotype with increasing tertiles of WDP scores compared with women with the CG + GG genotype, whose MetS risk was decreased with increasing tertiles of WDP scores. In addition, we found that intakes of fast food, salty snacks and soft drinks showed significant interactions with the rs5128 genotypes in relation to MetS risk (p for interactions <0.05). CONCLUSION: The results obtained demonstrate a diet-gene interaction between APOC3 rs5128 polymorphism and the WDP in relation to MetS risk.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".