Association of apolipoprotein E gene polymorphism with cognitive abilities variability of elderly people
Bibliographic record
Abstract
Physiological changes in the brain with natural aging and the development of dementia have a common genetic basis, which makes it important to search for genetic variants that delineate the natural decline in cognitive abilities with age and dementia of the Alzheimer’s type. Objective: the search for the relationship between two polymorphic variants (rs429358 and rs7412) APOE gene and their protein isoforms (apoE) with the variability of cognitive functions in the elderly, determined by Montreal Cognitive Assessmnet (MoCA) total score. The study was performed on a group of 695 elderly people (177 men and 518 women) tested by a battery of MoCA tests. Genotyping was carried out by real-time PCR using TaqMan probes. The analysis of genotypic variability associations with the nominal trait was performed by the Kruskel-Wallis and the median test nonparametric methods.It was shown that the rs429358*C allele carriers and protein isoforms e4/e4+e2/e4+e3/e4 carriers in comparison with the e3/e3 homozygous have the greatest risk of decreased cognitive abilities in old age (OR (95% CI) was 1.51 (1.09 - 2.10), c = 6.66, p = 0.01 and OR = 1.64, 95% CI (1.11 - 2.44), c = 6.76, p = 0.009, respectively). Probably, the revealed associations indicate to the presence of common genes and mechanisms for dementia and intellect with normal variability of cognitive functions inheritance.
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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) | 0.000 | 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) | 0.001 | 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".