Novel mutations in <i>EPM2A</i> and <i>NHLRC1</i> widen the spectrum of Lafora disease
Bibliographic record
Abstract
PURPOSE: Lafora disease (LD) is an autosomal recessive form of progressive myoclonus epilepsy with onset in childhood or adolescence and with fatal outcome caused by mutations in two genes: EPM2A and NHLRC1. The aim of this study was to characterize the mutation spectrum in a cohort of unrelated patients with presumed LD. METHODS: Sequencing of the two genes and search for large rearrangements was performed in 46 unrelated patients with suspected LD, 33 originating from France and the others from different countries. Patients were classified into two groups according to the clinical presentation. RESULTS: Mutations of various types were found in EPM2A in 10 patients and in NHLRC1 in 4 patients. Mutations were found in 14 (93%) of 15 patients with classical clinical and electroencephalography (EEG) presentation of LD and in no patients with an atypical presentation. Ten mutations were novel, including the first substitution reported in a donor splice site of EPM2A, leading to the deletion of exon 2 at the RNA level. Four large deletions, including two deletions of exon 2 with different sizes and breakpoints, were found in EPM2A, corresponding to 20% of the alleles of this gene. DISCUSSION: We described several novel mutations of EPM2A and NHLRC1 and brought additional data to the genetic epidemiology of LD. This study emphasized the high mutation rate in patients with classical LD as well as the high negativity rate of skin biopsy.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".