Parental transmission of MS in a population-based Canadian cohort
Bibliographic record
Abstract
OBJECTIVE: Genetic and environmental factors have important roles in multiple sclerosis (MS) susceptibility. The precise nature of these factors and mode of inheritance remains unknown. A female predominance is universally found. Recently, offspring of affected fathers were reported to be more likely to have MS than those of affected mothers. This was attributed to the Carter effect, which is seen in polygenic disorders. The Carter effect predicts that affected parents of the sex lesser affected by a disease/trait are more genetically loaded for risk alleles and thus transmit these more often to their offspring. This hypothesis was tested in a population-based Canadian MS cohort. METHODS: Using the longitudinal Canadian database, we identified 3,088 nuclear families with one affected parent and a total of 8,401 offspring, of which 798 had MS. Transmission to daughters and sons from affected mothers and fathers was compared. RESULTS: There was equal transmission of MS from affected fathers vs affected mothers (9.41% vs 9.76%). Stratifying by gender of affected parent there were no differences in the female:male sex ratio of affected (2.46% vs 2.41%, p = 0.88) or unaffected offspring (0.91% vs 0.95%, p = 0.46). CONCLUSIONS: We observed equal disease transmission to offspring from affected mothers and affected fathers, no difference in the female:male sex ratio of affected offspring, and previously no difference in sibling recurrence risk by gender of parent affected. These findings show no evidence for the Carter effect and do not support the hypothesis of polygenic inheritance of multiple sclerosis susceptibility by parent.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.003 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".