Association between NMD3 and symptoms of Parkinson's disease in Chinese
Bibliographic record
Abstract
Abstract Bcakground: Parkinson's disease (PD) is a progresasive neurodegenerative movement disorder which is characterized by motor symptoms such as tremor, rigidity, slowness of movement and problems with gait. Large-scale meta-analyses of genome-wide association studies (GWAS) have identified few susceptibility loci in sporadic PD. The aim of this study was to investigate the association between NMD3 single nucleotide polymorphism (SNP) and symptoms of PD patients in southern Chinese. Methods: A total of 217 PD patients were recruited in this study and were genotyped by using SNaPshot technique and the polymer chain reaction. All subjects were evaluated by Mini-Mental State Examination (MMSE), Beijing version Montreal Cognitive Assessment (MoCA), Sniffin’ Sticks 16 (SS-16), Hamilton anxiety rating scale, Hamilton depression rating scale, 39-item Parkinson's disease Questionnaire (PDQ-39) and MDS Unified PD Rating Scale (MDS-UPDRS). Results: NMD3 rs34016896 (T) carriers have worse cognitive function (MMSE: p 0.042, NMD3wildtype: 27.44 ± 2.89, NMD3 carriers: 26.31 ± 3.79; MoCA: p 0.005, NMD3 wildtype: 23.15 ±4.20, NMD3 carriers: 20.75 ± 6.68). Conclusions: The recessive and overdominant model of NMD3 rs34016896 was associated with cognitive impairment in PD patients.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.003 | 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".