Prenatal exposure to genocide accelerates epigenetic aging as measured in second-generation clocks among young adults
Bibliographic record
Abstract
Abstract Prenatal exposure to trauma, including genocide and maternal rape, and adverse childhood experiences (ACEs), are associated with lifespan reduction. We evaluated whether prenatal exposure to genocide or genocidal rape, and ACEs among individuals conceived during the 1994 genocide against Tutsi in Rwanda were associated with differences in age acceleration in three first-generation (Horvath, Hannum, PhenoAge) and four second-generation epigenetic aging clocks (GrimAge, DunedinPace, YingDamAge, YingAdaptAge), given the association between biological aging and mortality. No differences in age acceleration were observed with first-generation age clocks. However, age acceleration was associated with prenatal exposure to extreme stress for all second-generation clocks, with the greatest acceleration observed in the genocidal rape conception group. For YingDamAge clock, acceleration effects were strengthened after inclusion of ACEs. We suggest that prenatal trauma exposure is associated with epigenetic age acceleration. Second-generation clocks may more accurately capture these relationships.
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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) | 0.002 | 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".