Assessing the effects of 35 European‐derived BMI‐associated SNPs in Mexican children
Bibliographic record
Abstract
OBJECTIVE: The prevalence of obesity in Mexico has increased at an alarming rate in both adults and children. This study was undertaken to test in Mexican children the effects of single nucleotide polymorphisms (SNP) that have been associated with body mass index (BMI) and obesity in Europeans. METHODS: School-age children (N = 1,559, 5-17 years) were recruited in Mexico City. Thirty-five SNPs with established effects on BMI and obesity were genotyped and analyzed individually and as a combined gene score (GS). RESULTS: SNPs in FAIM2 (rs7138803), GPRC5BB (rs12444979), MTIF3 (rs4771122), TFAP2B (rs987237), TMEM18 (rs7561317), and the GS were significantly associated with BMI. The GS explained 0.9% of the variance of BMI. Also, SNPs in LRRN6C (rs10968576) and MC4R (rs17782313) were significantly associated with overweight and obesity categories, respectively. Importantly, the effect allele frequency of 26/35 SNPs (74.3%) differed significantly between Mexican children and European adults. No significant gene × environment or gene × gene interactions were detected after Bonferroni adjustment. CONCLUSIONS: Several SNPs first associated with BMI/obesity in European adults replicated well in Mexican children, and investigating differences in the distribution of effect alleles across ethnic populations may shed light on genetic susceptibilities of different populations to obesity.
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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 | 0.001 |
| 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".