Ongoing Study of the Association of APOE Gene Polymorphisms with Cognitive Impairment in the Rio Grande Valley Hispanic Population
Bibliographic record
Abstract
Background: Alzheimer's disease (AD), a prevalent neurodegenerative disorder, exhibits a significant genetic component. In addition, mild cognitive impairment (MCI) is a key risk factor for AD. While certain demographic factors and genetic variants associated with AD and cognitive impairment have been identified in non-Hispanic populations, limited research exists on this subject within the Hispanic population, particularly in the Rio Grande Valley. This study aims to investigate the relationship between the APOE gene, specifically its ε4 allele, and cognitive impairment in the Hispanic population of the Rio Grande Valley. Methods: A total of 269 Hispanic subjects, aged 60 and above, with varying levels of cognitive impairment were recruited from the Rio Grande Valley. Demographic, lifestyle, and medical history data were collected through questionnaires, along with saliva samples for genotyping of the APOE gene using two single nucleotide polymorphisms. Out of these 269 subjects, 203 performed valid cognitive assessments and 193 were successfully genotyped. Patients were assessed for cognitive decline using Montreal Cognitive Assessment Test for Dementia (MoCA). Categorical variables of No Cognitive Decline (scores of 25+), Mild Cognitive Decline (19-25), and Moderate to Severe Cognitive Decline (20% of cells were less than 5, and One-Way and Univariate ANOVA controlling for confounders along with Post-Hoc Bonferroni test were used to measure association using version 28.0.1.1 of IBM SPSS Statistics software. Results: Preliminary findings show that our sample of 95 males and 174 females with average age of 72.69, included 5 individuals with ε2/ε3 genotype, 151 with ε3/ε3, 27 with ε3/ε4, and 10 individuals with ε4/ε4. Chi-Square analysis saw significant ( Conclusions: In conclusion, our study sheds light on the potential association between APOE gene polymorphisms, particularly the ε4 allele, and cognitive impairment in the Hispanic population of the Rio Grande Valley. Further analysis and a larger sample size will refine our understanding of these relationships, contributing to the broader comprehension of genetic factors influencing cognitive health in diverse populations.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".