702 MEP032 – Association of COL5A1 gene polymorphisms and knee ligament injuries in professional football (Soccer) players
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
<h3>Background and Objective</h3> While investigating genetic risk factors aids in preventing knee injuries, limited evidence is available. This study aims to explore genetic factors for determining knee ligament injuries in professional soccer players. <h3>Study Design and Participants</h3> This study received approval from the Ethics Committee and included 94 professional soccer players (22.0 years). Genetic testing was conducted upon joining professional teams, examining players’ histories of ACL and MCL injuries, as well as subsequent injuries. Salivary DNA was collected using a DNA Genotek kit (ON, Canada), and TaqMan assays analyzed COL5A1 rs12722 C/T and rs10628678 AGGG/- (deletion) polymorphisms. <h3>Risk Assessment and Main Outcomes</h3> We assessed the impact of genetic variants on the risk of knee ligament injuries. Statistical analysis used SPSS version 26, with statistical significance at P-values <0.05. <h3>Results</h3> Among 94 players, 27 experienced knee ligament injuries. The rs12722 polymorphisms showed CC/CT/TT = 60/32/2 distribution, with CC variants trending toward higher injury risk (35%) but without statistical significance. For rs10628678 polymorphisms, frequencies were AGGG/AGGG = 24, AGGG/- = 53, and -/- = 17. Ligament injuries occurred in 8.3% of AGGG/AGGG, 35.8% of AGGG/-, and 41.2% of -/-, indicating higher injury frequency in AGGG/- or -/- variants compared to AGGG/AGGG (odds ratio [OR] = 6.5, 95% confidence interval [CI] = 1.4–21.9, P < 0.01, Fisher’s exact test). In logistic regression analysis, with knee ligament injury as the dependent variable and AGGG deletion/haploinsufficiency as the explanatory variable, while adjusting for age and the rs12722 variant, the OR was 6.0 (95% CI = 1.3–28.6, P < 0.05). <h3>Conclusions</h3> In the report by Alvarez-Romero and colleagues, only the COL5A1 rs10628678 -/- genotype was associated with ligament injuries in Japanese individuals, while it was not other ethnic groups. Unlike previous questionnaire-based surveys, this study, for the first time, revealed this association in actual clinical settings.
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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 | 0.000 | 0.000 |
| 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 it