Autosomal Recessive Limb-Girdle Muscular Dystrophy Type 10 (LGMD,10), Caused by a Novel Homozygous Variant in the TTN Gene
Bibliographic record
Abstract
Omar Ahmed Alghamdi,1 Osama Obaid,2 Ahmed Gamal Sayed,3 Hania Farhan,3 Jamal Sayed1 1Department of Pediatrics, Security Forces Hospital Makkah, (SFHM), Makkah, Saudi Arabia; 2Department of Pediatrics, Maternity and Children Hospital, Makkah, Saudi Arabia; 3College of Medicine, Alfaisal University, Riyadh, 11533, Saudi ArabiaCorrespondence: Omar Ahmed Alghamdi, Email oaalghamdi@sfhm.med.saAbstract: Limb-girdle muscular dystrophy was first introduced in the 1950s as a distinct family of unusual genetic diseases. The prevalence of the disease is about 4– 7/1000, with a spectrum of onset at different ages. LGMD has a cluster of symptoms varying in severity and presentation in patients. Limb-girdle muscular dystrophy`s inheritance is unique as it can be autosomal dominant or recessive. We report a young boy with autosomal recessive limb-girdle muscular dystrophy (LGMD), presented with distal muscle weakness in all four limbs for three years and thinning of legs, arms, and thighs. Our gene of focus is TTN, which is associated with muscle elasticity and myogenesis. Our subtype reported is currently associated with a new homozygous TTN variant; thus, we are writing a novel variant mutation causing limb-girdle muscular dystrophy type 10.Keywords: LGMD, muscular dystrophies, TTN gene, titinopathy
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".