Genetic Variation of Aquaporin‐4 Associates with Cognition, Brain Volume, and Dementia Risk in a Large Community Cohort
Bibliographic record
Abstract
BACKGROUND: The aquaporin-4 (AQP4) water channel plays an integral role in removing waste from the brain, including β-amyloid and tau proteins. Currently, little is known about whether genetic differences in the AQP4 gene are involved in the development of dementia. We aimed to study the association between genetic variation at an AQP4 haplotype with cognition, brain volumes, and incident dementia. METHOD: Participants were from the community-based Framingham Heart Study (FHS) first, second, and third-generation cohorts. All participants were dementia-free at the time of cognitive assessment, brain MRI, and the commencement of dementia follow-up. Linear regression models were conducted to examine the relationship between genetic variation of AQP4 with cognition and brain volumes for participants aged 45 years and older. Cox proportional hazards regression models were conducted to examine the association between genetic variation of AQP4 with incident dementia beginning from age 65 ± 2.5, 70 ± 2.5, and 75 ± 2.5 years at baseline, with a maximum of a 20-year follow-up. Analyses were adjusted for age, sex, cohort, APOE (ε4 carrier), age squared (for cognitive and MRI outcomes), and education (for cognitive outcomes). RESULTS: 3847 participants had a cognitive assessment; 3332 had MRI. Carriage of the minor allele at the AQP4 haplotype was associated with better verbal episodic memory (β[95% CI], 0.325 [0.10, 0.55], p = 0.004) and larger hippocampal volumes (β[95% CI], 0.004 [0.001, 0.007], p = 0.009) compared to homozygotes for the major allele. Carrying at least one copy of the minor allele was associated with lower incident dementia risk across each age band. This reached borderline significance from age 75 onwards, with heterozygotes displaying a 32% lower risk of incident AD dementia compared to homozygotes for the major allele (HR = 0.68, 95% CI [0.47, 1.00], p = 0.049, n = 551, incident cases = 35). CONCLUSION: Carrying the minor allele at the AQP4 haplotype was associated with better episodic memory, larger hippocampal volumes, and trends for lower dementia risk. Further research exploring the role of AQP4 may identify additional mechanism contributing to dementia onset and progression.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".