Charting the Shift: Age as a Moderator of the Genetic and Environmental Influences on Reading
Bibliographic record
Abstract
Purpose: Reading skill is influenced by genes and environments throughout life. This study focused on the changes in heritability and environmental influences across the early to middle years of reading development. Reading theory suggests there is a shift from learning to read to reading to learn at approximately age 8. Based on the bioecological theory and gene-environment-time framework, as environmental influences stabilize we expected shared environmental influences to decrease and genetic influences to increase. Methods: Using a twin sample in the USA (N = 1086 individuals; 564 Male: 522 Female; Age M = 7.46 years, SD = 1.57, with 90% of families self-reported as White, 8% Black, 1% Asian, 1% Alaskan, Native American, or Native Pacific Islander, and 11% self-reported as Hispanic), we used a Gene-by-Environment (GxE) twin model with age as a moderator to examine how the balance of genetic and environmental influences on reading skill differed by age. Reading skill was measured with the DIBELS Next Composite from the beginning of academic year 2018/19. We estimated assessment age assuming the same fall test date for all participants. Results: We observed small increasing genetic influences and larger decreasing shared environmental influences on reading skill from ages 5 to 7 that began to plateau at approximately age 8. Non-shared environmental influences on reading skill were low and relatively stable from ages 6 through 12 following an uptick between ages 5 and 6. Conclusion: Results are consistent with the bioecological framework and the emerging gene-environment-time model. There were changes in the genetic and environmental influences on reading around the time that children began formal school-based instruction that began to level off during the shift from learning to read to reading to learn. Future work should identify specific environmental factors at these developmental windows to guide reading policies.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".