Additional file 2 of Association between polygenic risk for Alzheimer’s disease and brain structure in children and adults
Bibliographic record
Abstract
Additional file 2: Table S1. Descriptive details about study sample. Table S2. Number of SNPs at each p-value inclusion threshold. Table S3. A comprehensive list of all MRI metrics examined in our study. Table S4. Interaction of PRS-hemisphere for regional cortex (CA, CT, CV). Table S5. Interaction of PRS-hemisphere for white matter tracts (FA, MD). Table S6. Interaction of PRS-hemisphere for subcortical volume (SV). Table S7.Results for association between all eight PRS and regional cortex (CA, CT, CV). Table S8. Results for association between all eight PRS and subcortical volume (SV). Table S9. Results for association between all eight PRS and whitematter tracts (FA, MD). Table S10. Sensitivity analysis results (ABCD -(Kunkle et al. 2019)) for association between all eight PRS and regional cortex (CA, CT, CV). Table S11. Sensitivity analysis results (ABCD -(Kunkle et al. 2019)) for association between all eight PRS and subcortical volume(SV). Table S12. Sensitivity analysis results (ABCD - (Kunkle et al.2019)) for association between all eight PRS and white matter tracts (FA, MD). Table S13. Results for association between all eight PRS (excluding APOE along with adjust APOE genotype) and regional cortex(CA, CT, CV). Table S14. Results for association between all eight PRS (excluding APOE along with adjust APOE genotype) and subcortical volume (SV). Table S15. Results for association between all eight PRS (excluding APOE along with adjust APOE genotype) and whitematter tracts (FA, MD). Table S16. Sensitivity analysis results (UKB -adjust 40PCs) for association between all eight PRS and regional cortex (CA, CT, CV). Table S17. Sensitivity analysis results (UKB - adjust 40PCs) for association between all eight PRS and subcortical volume (SV). Table S18.Sensitivity analysis results (UKB - adjust 40PCs) for association between all eight PRS and white matter tracts (FA, MD). Table S19. Sensitivity analysis results (ABCD - adjust birth weight and gestational age) for association between all eight PRS and regional cortex (CA, CT, CV). Table S20. Sensitivity analysis results (ABCD - adjust birth weight andgestational age) for association between all eight PRS and subcortical volume(SV). Table S21. Sensitivity analysis results (ABCD - adjust birthweight and gestational age) for association between all eight PRS and whitematter tracts (FA, MD). Table S22. Sensitivity analysis results (outliers winsorized) for association between all eight PRS and regional cortex (CA, CT, CV). Table S23. Sensitivity analysis results (outliers winsorized) for association between all eight PRS and subcortical volume (SV). TableS24. Sensitivity analysis results (outliers winsorized) for association between all eight PRS and white matter tracts (FA, MD).
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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 | 0.034 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.833 | 0.099 |
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".