Mendelian Genes and Risk of Intracerebral Hemorrhage and Small-Vessel Ischemic Stroke in Sporadic Cases
Bibliographic record
Abstract
Background and Purpose— Mendelian strokes are rare genetic disorders characterized by early-onset small-vessel stroke. Although extensively studied among families with syndromic features, whether these genes affect risk among sporadic cases is unknown. Methods— We sequenced 8 genes responsible for Mendelian stroke in a case–control study of sporadic stroke cases (≤70 years). Participants included 1251 primary stroke cases of small-vessel pathology (637 intracerebral hemorrhage and 614 small-vessel ischemic stroke cases) and 1716 controls from the INTERSTROKE study (Study of the Importance of Conventional and Emerging Risk Factors of Stroke in Different Regions and Ethnic Groups of the World). Results— Overall, the prevalence of canonical disease-causing mutations was 0.56% in cases and 0.23% in controls (odds ratio=1.89; 95% confidence interval, 0.54–7.57; P =0.33). CADASIL (Cerebral Autosomal Dominant Arteriopathies with Subcortical Infarcts and Leukoencephalopathies) mutations were more frequent among cases (0.48%) than controls (0.23%) but were not significantly associated with stroke risk (odds ratio=2.03; 95% confidence interval, 0.58–8.02; P =0.27). Next, we included all rare nonsynonymous mutations to investigate whether other types of mutations may contribute to stroke risk. Overall, 13.5% of cases and 14.2% of controls were carriers of at least one rare nonsynonymous mutation among the 8 Mendelian stroke genes. Mutation carriers were not at elevated risk of stroke (odds ratio=0.93; 95% confidence interval, 0.75–1.16; P =0.55). Conclusions— In the absence of syndromic features and family history of stroke, screening for Mendelian mutations among small-vessel stroke patients is unlikely to have high diagnostic utility.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".