Monozygotic Twins Exhibit Numerous Epigenetic Differences: Clues to Twin Discordance?
Bibliographic record
Abstract
The goal of this pilot study was to explore the putative molecular mechanisms underlying the phenotypic discordance of monozygotic (MZ) twins. Thus, patterns of epigenetic DNA modification were investigated in the 5'-regulatory region of the dopamine D2 receptor gene (DRD2) in two pairs of monozygotic twins, one concordant and one discordant for schizophrenia. The bisulfite DNA modification-based approach was used to fine-map methylated cytosines in DRD2 in genomic DNA extracted from lymphocytes. Numerous DNA methylation differences were identified in the analyzed region both within and between the pairs of MZ twins. "Epigenetic distances" between MZ twins were calculated and used for the comparison of twin DRD2 methylation profiles. It was detected that the affected twin from the pair discordant for schizophrenia was epigenetically "closer" to the affected concordant twins than to his unaffected MZ co-twin. Although the epigenetic analysis was conducted for only several hundred base pairs of DRD2, the fact that numerous studies identified nonuniform methylation patterns across the clones of bisulfite-modified DNA from the same individual, as well as nonuniform patterns across different individuals, argues for the universality of intra- and interindividual epigenetic variation. Epigenetic studies should provide insight into the molecular causes of differential susceptibility to a disease in genetically identical organisms that may generalize to singletons.
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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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".