Genome‐wide variant by serum urate interaction in Parkinson's disease
Bibliographic record
Abstract
OBJECTIVE: Serum urate levels have been associated with risk for and progression of Parkinson's disease (PD). Urate-related compounds are therapeutic candidates in neuroprotective efforts to slow PD progression. A urate-elevating agent is currently under investigation as a potential disease-modifying strategy in people with PD. However, PD is a heterogeneous disorder, and genetic variation may explain divergence in disease severity and progression. METHODS: We conducted a genome-wide association study to identify gene variant × serum urate interaction effects on the striatal (123) I-ioflupane (DaTscan) binding ratio measured using single photon emission computed tomography in patients with possible PD from the Parkinson's Progression Markers Initiative (PPMI, n = 360). Follow-up analyses were conducted to assess gene variant × serum urate interaction effects on magnetic resonance imaging-derived regional brain volumes and clinical status. We then attempted to replicate our primary analysis in patients who entered the Parkinson Research Examination of CEP-1347 Trial (PRECEPT) with a clinical diagnosis of PD (n = 349). RESULTS: Rs1109303 (T>G) variant within the INPP5K gene on chromosome 17p13.3 demonstrated a genome-wide significant interaction with serum urate level to predict striatal dopamine transporter density among all PPMI participants (n = 359) with possible PD (p = 2.01 × 10(-8) ; after excluding participants with SWEDD [scan without evidence of dopaminergic deficit]: p = 1.12 × 10(-9) ; n = 316). Independent of striatal dopamine transporter density, similar effects on brain atrophy, bradykinesia, anxiety, and depression were observed. No effect was present in the PRECEPT sample at baseline; however, in non-SWEDD PD participants in PRECEPT (n = 309), we observed a significant longitudinal genotype × serum urate interaction effect, consistent in direction with the PPMI sample, on progression of striatal dopamine transporter density over the 22-month follow-up. INTERPRETATION: Genetic profile combined with serum urate level can be used to predict disease severity and potential disease progression in patients with PD. These results may be relevant to therapeutic efforts targeting the urate pathway.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 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".