No Effect of Parental Age on Risk of Multiple Sclerosis: A Population-Based Study
Bibliographic record
Abstract
BACKGROUND: Genetic and environmental factors have important roles in multiple sclerosis (MS) susceptibility. A clear parent-of-origin effect has been shown in several populations. Advanced maternal age has been shown to be associated with adverse outcomes in offspring including chromosomal abnormalities. Advanced paternal age is associated with a number of adult onset disorders including schizophrenia and bipolar disorder. In a population-based Canadian cohort, we investigated whether there is any difference in parental age at birth for MS index cases compared to spouse controls. METHODS: Using the longitudinal Canadian database, we identified 5,681 MS index cases and 1,249 spouse controls with complete information on parental dates of birth, thereby allowing a calculation of the maternal and paternal ages at the birth of their children (MS index cases and spouse controls). RESULTS: No significant difference in maternal or paternal age at birth was found (average MS index case maternal age at birth = 27.3 years, average spouse control maternal age at birth = 27.0 years, p = 0.13; average MS index case paternal age at birth = 30.7 years, average spouse control paternal age at birth = 30.2 years, p = 0.37). CONCLUSIONS: Parental age at birth is not associated with susceptibility to MS.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".