Association between Two Common Missense Substitutions, Thr6Lys and Val81Ile, in MC3R Gene and Childhood Obesity: A Meta-Analysis
Bibliographic record
Abstract
BACKGROUND: Two common missense variants in the melanocortin-3 receptor (MC3R) gene, Thr6Lys (T6K) and Val81Ile (V81I), are presumably correlated with pediatric obesity. This meta-analysis aimed to examine and synthesize evidence on the association between these two common MC3R polymorphisms and the development of childhood obesity. METHODS: A combination of words relevant to the research question was searched on PubMed, EMBASE, Scopus, and the Cochrane database. Results were restricted to human studies, specifically child and adolescent populations. Articles were excluded based on accessibility of full online texts and availability of pertinent data. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were calculated using a random effects model to determine the association of the polymorphisms with obesity. RESULTS: Searches on the databases using the keywords identified 65 potentially relevant reports. Among them, 32 studies were excluded due to irrelevance, and 28 studies excluded due to lack of access, insufficient data, and investigation of other variants. A final set of five studies included in this meta-analysis found that the risk of overweight/obesity increased by 46.1% per K allele and 21.7% per I allele. Only homozygous genotypes for T6K were associated with a 3.10-fold (95% CI: 1.29-7.43) increased risk of overweight/obesity in children. Data were insufficient to examine if homozygosity for both rare alleles further increases risk. CONCLUSIONS: Our results supported a recessive inheritance model for MC3R gene as a potential cause of childhood obesity. High clinical heterogeneity existed among studies and thus requires more research of larger participation for future integration of data.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.013 | 0.021 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.015 | 0.064 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".