Association of Matrilin-1 (MATN1) and Myosin 1H (MYO1H) Polymorphisms with Mandibular Prognathism
Bibliographic record
Abstract
Background: Mandibular prognathism (Class III malocclusion) is a complex skeletal discrepancy with a strong genetic component. Recent genome-wide association studies (GWAS) and candidate gene studies have implicated Matrilin-1 (MATN1), a cartilage matrix protein, and Myosin 1H (MYO1H), a molecular motor protein, as key susceptibility markers. However, results across different ethnic populations remain inconsistent. Objective: To assess the association between specific polymorphisms in MATN1 (e.g., rs533895) and MYO1H (e.g., rs10850110) and the susceptibility to mandibular prognathism. Methods: A systematic search will be conducted using PubMed, Scopus, Web of Science, and Embase. Case-control studies comparing genotype frequencies of MATN1 and MYO1H in subjects with mandibular prognathism versus Class I controls will be included. The Newcastle-Ottawa Scale (NOS) will be used for quality assessment. If data permits, a meta-analysis will be performed to calculate pooled Odds Ratios (OR) with 95% Confidence Intervals.
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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 | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 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".