A clinical and family history study of Parkinson's disease in heterozygous<i>glucocerebrosidase</i>mutation carriers
Why this work is in the frame
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Bibliographic record
Abstract
Type I Gaucher disease (GD), the most common lysosomal storage disorder, is caused by recessive glucocerebrosidase mutations.1 Both patients with Type I GD and heterozygous glucocerebrosidase mutation carriers have increased Parkinson's disease (PD) risk.1 Non-motor symptoms (NMS) are more frequent in PD with heterozygous glucocerebrosidase mutations (PD-GBA).2 We used the non-motor symptoms scale (NMSS) and Parkinson's disease questionairre (PDQ-39) to quantify NMS in PD-GBA.3 The age related PD risk in heterozygous glucocerebrosidase carriers has been reported in familial PD.4 Here, we calculate PD risk in obligate carrier relatives (parents) of Type I GD patients. ### Patients and methods PD-GBA patients were identified by Sanger sequencing of the glucocerebrosidase gene in 220 sporadic PD (PD-S) patients. The G2019S mutation in LRRK2 had previously been excluded. A control group of glucocerebrosidase mutation negative PD-S were selected from the same cohort. Each participant had the following administered: 40 item smell identification test (SIT), Montreal Cognitive assessment (MoCA), Parts I–IV of Unified Parkinson's Disease Rating Scale (UPDRS), NMSS, PDQ-39 and Rapid Eye Movement (REM) Sleep Behaviour Disorder Questionnaire (RBDQ). Statistical analysis was performed using SPSS (version 17). The proportion of participants with a MoCA score 6/10 (signifying possible REM sleep behaviour disorder) was compared using the χ2 test.3 In parallel, family history data were obtained from 83 Type I GD patients, detailing age of onset of PD in their parents …
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.007 |
| 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 it