GENETICS
Bibliographic record
Abstract
Background: It is reported that single nucleotide polymorphism (SNP) of the Translocase of outer mitochondrial membrane 40 homolog (TOMM40) gene is significantly associated with late-onset Alzheimer’s disease and cognitive decline in various ethnic groups. The aim of this study is to clarify the association of rs2075650 in TOMM40 with cognitive function among 70- and 80-year-old Japanese general population. Methods: Participants in age 70 ± 1 and 80 ± 1 years (n=550, 517 respectively) were randomly recruited from general population participating in the study of Septuagenarians, Octogenarians and Nonagenarians Investigation with Centenarians (SONIC) study, and part of them received follow-up investigation after 3 years. Written informed consent for genetic analysis was obtained from study participants. Rs2075650 in DNA extracted from blood samples was genotyped by TaqMan PCR method. Cognitive function was measured by the Montreal Cognitive Assessment (MoCA-J). Association of SNP with cognitive function is analyzed by the multiple regression models adjusting potential confounding factors. Results: There were no significant differences of MoCA-J total score at baseline among each allele in rs2075650 both in 70 and 80 years participants. However, in 80 years participants, there was significant differences in MoCA-J total score among alleles in rs2075650 (AA, GA, GG; 22.0, 21.2, 18.3, respectively; p=0.008) at follow-up examination. In addition, the TOMM40 (G allele) was significantly associated with a greater decline in MoCA-J total score at follow-up (β=-0.14; p=0.002), and the effect appeared to be greater in females (β=-0.21; p=0.001), but not in males and in 70 years participants. Conclusions:TOMM40 rs2075650 is an independent associated factor of cognitive function in Japanese females aged around 80.
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 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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.188 | 0.091 |
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".