Evidence of linkage to chromosome 5p13.2‐q11.1 in a large inbred family with genetic generalized epilepsy
Bibliographic record
Abstract
The clinical genetics of genetic generalized epilepsy suggests complex inheritance; large pedigrees, with multiple affected individuals, are rare exceptions. We studied a large consanguineous family from Turkey where extensive electroclinical phenotyping revealed a familial phenotype most closely resembling juvenile myoclonic epilepsy. For a subject to be considered affected (n = 14), a diagnostic electroencephalogram was required. Seizure onset ranged between 6 and 19 years (mean = 12 years). Thirteen of 14 experienced myoclonic jerks; in 11, this was associated with eyelid blinking, and in 10 it was interspersed with absences. Generalized tonic-clonic seizures were seen in 11. One individual had generalized tonic-clonic seizures alone. Electroencephalograms demonstrated generalized polyspike and wave discharges that were not associated with photoparoxysmal response. Intellect was normal. Nineteen family members were subsequently chosen for nonparametric multipoint linkage analyses, which identified a 39.5 Mb region on chromosome 5 (P < 0.0001). Iterative analysis, including discovery of a subtly affected individual, narrowed the critical region to 15.4 Mb and possibly to 5.5 Mb. Homozygous versus heterozygous state of the refined 5p13.2-q11.1 haplotype was not associated with phenotypic severity or onset age, suggesting that one versus two pathogenic variants may result in similar phenotypes. Whole exome sequencing (n = 3) failed to detect any rare, protein-coding variants within the highly significant linkage region that includes HCN1 as a promising candidate.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".