Interleukin‐6 g.−174G>C Promoter Polymorphism Is Associated with Obesity in the EPIC‐Potsdam Study
Bibliographic record
Abstract
Homozygosity for the interleukin-6 (IL-6) g.-174G>C promoter polymorphism has recently been associated with indices of overweight. Homozygous subjects were observed to have reduced energy expenditure, suggesting that lower IL-6 gene transcription, caused by the IL-6 g.-174G>C promoter polymorphism, may be associated with obesity. The aim of this study was to investigate the association of this polymorphism with long-term weight gain. For 334 normal weight (20 < BMI < or = 25 kg/m2) and 334 obese (BMI > 30 kg/m2) subjects matched by age and sex originating from the population-based EPIC-Potsdam Study, recalled weight change from age 25 to study enrollment was determined, the IL-6 g.-174G>C promoter polymorphism was defined, and plasma concentrations of IL-6 and C-reactive protein were measured. The IL-6 g.-174G>C promoter polymorphism was significantly associated with obesity (chi2 = 7,34, p = 0.026). Odds ratios for subjects with GC and CC genotypes for obesity were 1.19 (95% CI: 0.84 to 1.68; p = 0.323) and 1.91 (95% CI: 1.19 to 3.08; p = 0.007), respectively. Recalled weight change from age 25 years to study enrollment differed significantly according to genotype (p = 0.044) and was most pronounced in subjects with the CC genotype, suggesting that the IL-6 g.-174G>C promoter polymorphism is a susceptibility or modifying locus for common obesity and weight gain.
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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".