Familial aggregation of Parkinson's disease in the Faroe Islands
Bibliographic record
Abstract
The Faroe Islands are a geographic population isolated in the North Atlantic with a high prevalence of Parkinson's disease (PD). Although environmental risk factors are well described, the familial aggregation of PD on the Islands has yet to be explored. Complete ascertainment of all patients with PD was performed, including 217 cases and 251 control subjects. All patients were neurologically assessed and diagnosed using UK Brain Bank criteria and Hohn and Yahr staging. Comprehensive genealogical and detailed cartographic analyses were performed. Relative risk and risk ratios were calculated with respect to the general population. Patients with PD in the Faroes have a higher age at symptom onset and diagnosis than for neighboring countries. Clinically, patients are similar; however, they are more likely to have affected relatives than randomly selected control subjects, matched by sex and age. Disease is most prevalent within two geographic regions. Overall, the relative risk for PD was 2.3 (95% confidence interval [CI], 1.2-4.3; P = 0.008) for siblings and 1.4 (95% CI, 1.01-1.99, P = 0.04) for first cousins. The etiology and excess prevalence of PD on the Faroes is complicated. Regional and familial clustering, and subsequent segregation analysis, suggests the disease best fits a genetic etiology with limited support for an environmental contribution. Pedigree-based analysis of PD on the Faroe Islands which has few founders and a relatively homogeneous background may elaborate on these possibilities and their joint contribution.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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".