The Relationship Between Bridging Integrator 1 Gene Polymorphism and Susceptibility to Alzheimer’s Disease
Bibliographic record
Abstract
Background: Alzheimer’s Disease (AD) is the most common type of dementia. The role of genetic factors in AD development remains non-demonstrated. Objectives: In this study, we aimed to investigate the association between one of the BIN1 gene’s single-nucleotide polymorphisms (SNP) rs744373 and Late-Onset Alzheimer’s Disease (LOAD) in an Iranian population in Guilan Province. Materials & Methods: In this case-control study, 110 patients with LOAD and 110 unrelated healthy controls were recruited. Polymerase chain reaction-restriction length polymorphism (PCRRFLP) was performed for genotyping the BIN1 gene’s SNP rs744373. Electrophoresis was thereafter conducted using agarose gel and DNA-safe stain, and the gels were visualized under an Ultraviolet (UV) trans-illuminator. The allelic and genotypic frequencies were determined. Results: The frequency of allele T (Wild-type allele) in the control and the LOAD groups was 70.9% (n=159) and 58.6% (n=129), respectively (P=0.007). The frequency of allele C in the LOAD group (41.4%) (n=91) was significantly higher than that of the control group (29.1%) (n=64) (P=0.007). BIN’s homozygous genotype (CC) frequency was significantly higher in the LOAD group than in the control group (P=0.043). Conclusion: The rs744373 SNP of the BIN1 gene is significantly associated with the risk of developing AD in the studied population.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".