Darier disease in Israel: combined evaluation of genetic and neuropsychiatric aspects
Bibliographic record
Abstract
BACKGROUND: Darier disease (DD) is a rare genodermatosis caused by heterozygous mutations in the ATP2A2 gene. It has been associated with neuropsychiatric manifestations. OBJECTIVES: To investigate the genetic basis of Israeli patients with DD, and its association with the neuropsychiatric phenotype. METHODS: A cohort of 32 families comprising 74 affected individuals and 13 unaffected family members was recruited from the Haemek Dermatology Department and other dermatology clinics in Israel. The individuals were evaluated by detailed questionnaires, physical examination and genetic analysis. The main outcome measures were genetic mutations, psychiatric profile and their association. RESULTS: Twenty-three mutations in ATP2A2 were scattered over the entire gene, 14 of them novel. Two families shared the same mutation. Twenty-one patients (28%) had a history of psychiatric disorders, most of them mood disorders. Another seven patients (9%) were highly suspected of having a psychiatric disorder; 21 (28%) reported suicidal thoughts and five (7%) had attempted suicide. The psychiatric phenotype demonstrated inter- and intrafamilial variability, and was not associated with disease severity, family history of psychiatric disease or mutation location. CONCLUSIONS: The cohort demonstrated genetic heterogeneity with no mutation cluster along the gene, and a high prevalence of psychiatric disorders. Although no clear genotype-phenotype correlation was found, the results point to a major effect of genetic background on psychiatric phenotype, together with other modifiers.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".