Association Between BMI and DNA Methylation in Blood or Normal Adult Breast Tissue: A Systematic Review
Bibliographic record
Abstract
BACKGROUND/AIM: Several studies have investigated the influence of obesity on DNA methylation (DNAm) to find biomarkers associated with the detection of chronic diseases, including breast cancer. The aim of the study was to systematically review studies examining the association of body mass index (BMI) and DNAm in blood or normal breast tissue. MATERIALS AND METHODS: Three scientific literature databases (PubMed, Embase and Web of Science) were screened until May 2018. RESULTS: Twenty-four studies were included along with ours in which we investigated this relation in the normal breast tissue of 40 breast cancer patients. CONCLUSION: BMI-associated CpG sites were highly variable with few identified in less than half of the studies. Nevertheless, a few genes potentially associated with BMI were highlighted in blood (CPT1A, ABCG1, SREBF1 and LGALS3BP) and in normal breast tissue (PTPRN2 and ABLIM2). The variability of the results could be explained by the tissue and cell-specificity of methylation and differences in methodology.
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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 | 0.003 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".