<i>DNAJC13</i> genetic variants in parkinsonism
Bibliographic record
Abstract
BACKGROUND: A novel mutation (p.N855S) in DNAJC13 has been linked to familial, late-onset Lewy body parkinsonism in a Dutch-German-Russian Mennonite multi-incident kindred. METHODS: DNAJC13 was sequenced in 201 patients with parkinsonism and 194 controls from Canada. Rare (minor allele frequency < 0.01) missense variants identified in patients were genotyped in two Parkinson's disease case-controls cohorts. RESULTS: Eighteen rare missense mutations were identified; four were observed in controls, three were observed in both patients and controls, and eleven were identified only in patients. Subsequent genotyping showed p.E1740Q and p.L2170W to be more frequent in patients, and p.R1516H being more frequent in controls. Additionally, p.P336A, p.V722L, p.N855S, p.R1266Q were seen in one patient each, and p.T1895M was found in two patients. CONCLUSION: Although the contribution of rare genetic variation in DNAJC13 to parkinsonisms remains to be further elucidated, this study suggests that, in addition to p.N855S, other rare variants might affect disease susceptibility.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.002 | 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".