Variants in the fat mass and obesity associated (FTO) gene are associated with obesity and C-reactive protein levels in Chinese Han populations
Bibliographic record
Abstract
PURPOSE: Various genetic variants of the fat mass and obesity associated gene (FTO) have been linked to obesity in populations of Europeans. Low-grade inflammation is a key feature of obesity, characterized by elevated plasma levels of C-reactive protein (CRP). In the present study, we have investigated whether the FTO-risk variant is associated with obesity and CRP in the Chinese population. METHODS: 1799 individuals aged 50-70 years (896 men and 903 women), including both obese (560 cases) and control individuals, (1200 cases) were recruited. The FTO rs9939609 polymorphism was tested using sequences retrieval. Waist circumference, body fat, hs-CRP, blood total cholesterol, triglycerides and LDL-C were also measured. RESULTS: The FTO rs9939609 polymorphism per-A allele was associated with an increased odds ratio for obesity of 1.42 (95%CI 1.23-1.64). The genotypic odds ratio for obesity was 1.92 (95%CI 1.43-2.57) for the AA genotype, 1.71 (95%CI 1.35-2.16) for the AT genotype. The association between FTO rs9939609 polymorphism and CRP levels was r=0.78. CONCLUSION: Our data support the hypothesis that FTO rs9939609 polymorphism is strongly associated with obesity and CRP levels in the Chinese population as reported in the European population.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".