Translated mutation in the Nurr1 gene as a cause for Parkinson's disease
Bibliographic record
Abstract
Multiple genes have been now identified as causing Parkinson's disease (PD). In 2003, two mutations were identified in exon 1 of the Nurr1 gene in 10 of 107 individuals with familial PD. To date, investigators have only focused on screening for these known mutations of the Nurr1 gene. All individuals were recruited from two Parkinson's disease clinics in Canada. Following PCR amplification of each exon of the Nurr1 gene, samples underwent denaturing high-performance liquid chromatography (DHPLC) analysis. Ten individuals also underwent direct sequencing as well as any samples where variants were identified. The Nurr1 gene was evaluated for 202 PD individuals, 37% of whom had at least one relative with PD and 100 control non-PD individuals. Using DHPLC and direct sequencing, we did not detect any sequence variants in exon 1. Variants in amplicon 6 were seen and direct sequencing confirmed a known NI6P polymorphism in intron 6. Novel polymorphisms were also identified in exon 3 and intron 5. A novel mutation was identified in exon 3 in one nonfamilial PD individual. This heterozygous C-to-G transversion resulted in a serine-to-cysteine substitution and was not identified in any of the other 602 chromosomes screened. Mutations in the Nurr1 gene in our large cohort of familial and sporadic PD individuals are rare. The novel mutation in exon 3 is predicted to affect phosphorylation and functional studies to assess this are underway. This is the first coding mutation identified in the Nurr1 gene for Parkinson's disease.
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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 | 0.000 |
| 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 | 0.001 |
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".