Reelin Signaling Pathway Genotypes and Alzheimer Disease in a Spanish Population
Bibliographic record
Abstract
BACKGROUND: Several reports suggest that the reelin protein could play a role in Alzheimer pathophysiology. This led us to ask whether genetic variability in the reelin pathway may increase the risk of developing Alzheimer disease (AD) or mild cognitive impairment (MCI). METHODS: This was a case-control study in which neuropsychological tests were administered and peripheral blood samples taken. The study included 121 patients with AD, 94 with MCI, and 198 controls. Forty biallelic variants single nucleotide polimorphisms were genotyped in 8 genes related to reelin signaling pathway using a SNPlex genotyping system, and allele frequencies were compared between patients and controls using χ tests and obtaining odds ratios (OR). RESULTS: A total of 413 subjects with complete neuropsychological data were analyzed. A significant association between the genotypes RELN (rs528528 and rs2299356), PLK2 (rs15009 and rs702723), and CAMK2A (rs3756577 and rs3822606) and AD or MCI was found. A significant association also was found between the GG genotype at the RELN-rs2299356 and the risk of AD (OR=2.68, P=0.003) and between the AG genotype at the CAMK2A-rs3822606 (OR=2.13, P=0.004). We found a protective effect of the RELN-rs528528 CT genotype and MCI (OR=0.36, P=0.002), and the PLK2-rs15009 CC and GG genotypes and CC genotype at PLK2-rs702723 with OR ranging from 0.40 to 0.57 on AD. These data suggest that TT or CT genotypes at CAMK2A-rs3756577 is associated with risk reduction for AD and MCI ranging from 2 to nearly 8 times. CONCLUSIONS: Our data suggest a possible relation between certain reelin signaling pathway genotypes and cognitive impairment related to AD.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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".