Deletion of the MC4R Gene in a 9-Year-Old Obese Boy
Bibliographic record
Abstract
BACKGROUND: The most common monogenic form of obesity is caused by mutations in the melanocortin 4 receptor (MC4R) gene. More than 150 mutations have been reported in the MC4R gene, the majority being point mutations. Most individuals with MC4R gene mutations have early-onset obesity, hyperphagia, and increased longitudinal growth. METHODS: A 9-year-old Caucasian boy was referred to genetics for obesity, food-seeking behavior, and developmental delay. History and physical exam were not consistent with Prader Willi syndrome, but revealed several minor anomalies. Owing to significant obesity and hyperphagia, a Prader Willi syndrome methylation test and a microarray were requested. RESULTS: Methlylation testing for Prader Willi syndrome was normal. Microarray analysis revealed two changes: (1) A 2.6-Mb deletion at chromosome 18q21.31 was identified and contained several OMIM genes, including the MC4R gene, and (2) an 0.87-Mb duplication at chromosome region 16p13.3 was found and contained one gene. Parental samples revealed that the boy's father had the same deletion and duplication. This case appears to be the first with a deletion of 18q21.31 encompassing the MC4R gene presenting with features of hyperphagia and obesity. CONCLUSIONS: Haploinsufficiency of the MC4R gene either through whole gene deletion or nonsense or missense mutations is associated with a significant risk of obesity. The case emphasizes both the role of the MC4R gene in obesity as well as the importance of looking for chromosomal microdeletions/duplications as a cause of obesity in children with minor anomalies or developmental delay.
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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) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".