The mediation role of reading-related endophenotypes in the gene-to-reading pathway
Bibliographic record
Abstract
• Individual differences in reading skills are largely influenced by genetic variants. • We investigated the gene-cognitive-behavior pathway underlying reading (dis)ability. • Functional SNPs spanning candidate genes and GWAS top hits were identified. • Association between DYX1C1 and reading is partially mediated by phonology. • Enhancement of phonology may be warranted in carriers of at-risk genetic variants. Although individual differences in reading-related skills are largely influenced by genetic variation, the molecular basis of the heritability of this phenotype is far from understood. Functional single-nucleotide polymorphisms spanning reading-candidate genes and genome-wide significant top hits were identified. By using a multiple-predictor/multiple-mediator framework, we investigated whether relationships between functional genetic variants ( DYX1C1 -rs3743205, DYX1C1 -rs57809907, KIAA0319 -rs9461045, and KIAA0319 -Haplotype) and genome-wide significant top hits (rs11208009 on chromosome 1) and reading skills could be explained by reading-related cognitive and sensory endophenotypes in a sample of 328 8-year-old twins. The association between rs3743205 and rs57809907 with reading skills is partially mediated by phonological awareness (PA). Specifically, the rs3743205-C/C genotype and carrying the minor ‘A’ allele of rs57809907 were associated with lower PA scores which in turn was correlated with poorer reading skills. These findings reveal insights into the sequential gene-behavior cascade in reading acquisition and contribute to the growing literature on the neurogenetic machinery of reading development.
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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 | 0.001 | 0.000 |
| 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) | 0.000 | 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".