Germline epigenetic inheritance: Challenges and opportunities for linking human paternal experience with offspring biology and health
Bibliographic record
Abstract
Recently, novel experimental approaches and molecular techniques have demonstrated that a male's experiences can be transmitted through his germline via epigenetic processes. These findings suggest that paternal exposures influence phenotypic variation in unexposed progeny-a proposal that runs counter to canonical ideas about inheritance developed during the 20th century. Nevertheless, support for paternal germline epigenetic inheritance (GEI) in nonhuman mammals continues to grow and the mechanisms underlying this phenomenon are becoming clearer. To what extent do similar processes operate in humans, and if so, what are their implications for understanding human phenotypic variation, health, and evolution? Here, we review evidence for GEI in human and nonhuman mammals and evaluate these findings in relation to historical conceptions of heredity. Drawing on epidemiological data, reproductive biology, and molecular embryology, we outline developments and opportunities for the study of GEI in human populations, emphasizing the challenges that researchers in this area still face.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".