Sexual dimorphism in <i>SMAD3</i> pathogenic variant-harbouring individuals
Bibliographic record
Abstract
Background Individuals harbouring SMAD3 pathogenic variants are at risk for aneurysms/dissections throughout the arterial tree. Based on prior reports of sex differences in thoracic aortic aneurysm/dissection, we investigated the sexual dimorphism for vascular events in SMAD3-variant-harbouring patients. Methods We analysed two large pedigrees comprising 84 individuals segregating pathogenic missense variants affecting the same p.Arg287 residue in SMAD3. We excluded individuals<40 years without vascular involvement, as they were too young to be classified. Individuals were subcategorised according to sex, the presence or absence and localisation (aneurysm/dissection with or without involvement of the aortic root/ascending aorta) of vascular lesions. We complemented our familial patient cohort with 178 SMAD3 patients reported in the literature between 2011 and 2023. Results In our two pedigrees, 11/30 (37%) variant-harbouring females had no vascular involvement, whereas none of the variant-harboring males (n=23) had no vascular involvement (p=0.001). While the two groups did not differ by age, males were at higher risk of vascular complications (p=0.037), there was no age difference between sexes. Of the 19 females with vascular involvement, six (32%) had vascular involvment sparing the aortic root/ascending aorta, whereas of the 23 males with vascular invovlement, only one (4%) had vascular involvement sparing the aortic root/ascending aorta (p=0.034). In the literature, we identified 116 male and 62 female additional patients. In the combined cohort of 220 patients, we demonstrated an over-representation of males (p<0.001) and non-penetrance in females for vascular pathology involving the aortic root/ascending aorta (p=0.028). Conclusions Non-penetrance is more common in women, and normal echocardiography in at-risk females is not as reassuring for risk of vasculopathy in other locations. The higher non-penetrance in women creates an ascertainment bias and results in an over-representation of male patients in the literature.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".