Genome-wide association study of REM sleep behavior disorder in Parkinson’s disease
Bibliographic record
Abstract
REM sleep behavior disorder (RBD), is a prodromal synucleinopathy affecting a subset of Parkinson's disease (PD) patients and associated with neuropsychiatric symptoms. This study compared the genetic profiles of 13,020 PD patients with probable RBD (PD + RBD) and 5403 without (PD-RBD) using genome-wide association study (GWAS). RBD was assessed by questionnaires or self-reporting. Potential genetic correlations between neuropsychiatric traits and PD + RBD were assessed using linkage disequilibrium score regression. The top variant in the SNCA locus was associated with PD + RBD (rs10005233-T, OR = 1.21, 95% CI = 1.16-1.27, p = 1.81e-15). PD risk variants in SNCA (rs5019538-G, OR = 0.85, 95% CI = 0.81-0.89, p = 2.46e-10; rs356182-G, OR = 0.89, 95% CI = 0.84-0.95, p = 0.0001) and LRRK2 loci (rs34637584, OR = 0.41, 95% CI = 0.28-0.61, p = 1.04e-5) were associated with reduced PD + RBD risk. A suggestive genetic correlation between attention deficit hyperactivity disorder and PD + RBD was observed but was not statistically significant after correction. These findings highlight genetic distinctions between PD + RBD and PD-RBD, offering insights into PD stratification and potential subtype-specific treatments.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".