Dynamics of Cognitive Impairment in Older Adults Linked to Suicide-Related Single-Nucleotide Polymorphisms: A 3-Year Follow-Up Study
Bibliographic record
Abstract
Background: Cognitive decline during aging is a factor that inevitably affects everyone. In some older adults, cognitive function declines more rapidly to mild cognitive impairment (MCI) and eventually dementia. Our work aimed to determine the associations between suicide-related single-nucleotide genetic polymorphisms (SNPs) and cognitive function dynamics in people over 65 years old over a three-year follow-up. Suicide-related SNPs have already shown an association with dementia in our previous study. Methods: The present study included 66 participants over 65 without subjective cognitive decline. Cognitive impairment was assessed at two follow-up points (at the start of the study in 2020–2021 and 3 years later) using the Montreal Cognitive Assessment (MoCA). Patients were also genotyped for 16 SNPs. Results: We found associations between rs10898553 and rs165774 and MoCA 3-year dynamics, with a certain genetic variant related to more significant progression. For rs7982251, associations with scale scores were found, but no effect on its dynamics. Conclusions: The research focused on analyzing genetic factors of cognitive decline in healthy older adults without subjective cognitive decline. Identifying these markers can help predict the development of pathology at early stages and start timely treatment.
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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 | 0.000 |
| 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) | 0.002 | 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".