Global DNA Hypomethylation (LINE-1) in the Normal Colon and Lifestyle Characteristics and Dietary and Genetic Factors
Bibliographic record
Abstract
BACKGROUND: Global loss of methylated cytosines in DNA, thought to predispose to chromosomal instability and aneuploidy, has been associated with an increased risk of colorectal neoplasia. Little is known about the relationships between global hypomethylation and lifestyle, demographics, dietary measures, and genetic factors. METHODS: Our data were collected as part of a randomized clinical trial testing the efficacy of aspirin and folic acid for the prevention of colorectal adenomas. At a surveillance colonoscopy approximately 3 years after the qualifying exam, we obtained two biopsies of the normal-appearing mucosa from the right colon and two biopsies from the left colon. Specimens were assayed for global hypomethylation using a pyrosequencing assay for LINE-1 (long interspersed nucleotide elements) repeats. RESULTS: The analysis included data from 388 subjects. There was relatively little variability in LINE methylation overall. Mean LINE-1 methylation levels in normal mucosa from the right bowel were significantly lower than those on the left side (P < 0.0001). No significant associations were found between LINE-1 methylation and folate treatment, age, sex, body mass index, smoking status, alcohol use, dietary intake, or circulating levels of B vitamins, homocysteine, or selected genotypes. Race, dietary folic acid, and plasma B(6) showed associations with global methylation that differed between the right and the left bowel. The effect of folic acid on risk of adenomas did not differ according to extent of LINE-1 methylation, and we found no association between LINE-1 methylation and risk of adenomas. CONCLUSIONS: LINE-1 methylation is not influenced by folic acid supplementation but differs by colon subsite.
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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 | 0.000 | 0.001 |
| 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".