Association of <i>DNMT3b</i> gene variants with sporadic Parkinson's disease in a Chinese Han population
Bibliographic record
Abstract
BACKGROUND: Parkinson's disease (PD) is the second most common neurodegenerative disease worldwide. Genetic factors play important roles in PD risk. rs653765 and rs514049 of ADAM10 were reported to be associated with Alzheimer's disease (AD) in Caucasian population; however, the association of the two variants with PD in Chinese Han population remains unknown. The present investigation aimed to explore the possible association of ADAM10 variants with PD in Chinese Han population. METHODS: We enrolled 565 PD patients and 518 healthy controls to conduct a case-control study. DNA samples were extracted from peripheral blood leukocytes, and the genotypes were determined by utilization of MassARRAY platform. Plasma levels were measured by enzyme-linked immunosorbent assay (ELISA). RESULTS: We found CC genotype of rs514049 was associated with an increased risk of PD (OR (95% CI) = 3.776 (1.127-11.217), p = 0.018). The C allele frequency of rs514049 was significantly higher in PD group (OR (95% CI) = 1.328 (1.031-1.709), p = 0.028), especially in male subgroup (OR (95% CI) = 1.484 (1.053-2.092), p = 0.024). However, there was no significant difference in the genotype or allele frequencies for rs653765 within the groups. Plasma levels were significantly decreased in PD patients compared with controls (p < 0.001). CONCLUSIONS: Our data suggested that C allele of rs514049 in ADAM10 may increase the risk of PD in Chinese Han population, especially in males. The decreased plasma levels are probably involved in PD development.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".