Segregation analysis of cleft lip with or without cleft palate in the First Nations (Amerindian) people of British Columbia and review of isolated cleft palate etiologies
Bibliographic record
Abstract
BACKGROUND: The First Nations (Amerindian) population of British Columbia, Canada, has the highest reported birth prevalence in the world of cleft lip with or without cleft palate (CL/P) at nearly 3 per 1000 births. In addition, a substantial proportion of cleft palate only (CPO) cases in this population has been reported to be X-linked. The aims of this study were to perform complex segregation analysis to investigate the mode of inheritance of CL/P in the First Nations people of British Columbia and to review the etiology of the CPO cases. METHODS: All First Nations children born in British Columbia between 1952 and 1971 with an orofacial cleft were included in the study. Multiple sources of ascertainment were used, so that nearly 100% of live births were identified and included during this time. No stillbirths were found but would likely have been ascertained. Extended pedigrees were constructed from these probands and examination of immediate family members, e.g., parents and siblings, was done wherever possible. Complex segregation analysis included all family members. In addition, a CPO case review was conducted. RESULTS: Complex segregation analysis supports the hypothesis that the most likely mode of inheritance of CL/P in this population is a mixed model; that is, an autosomal major gene with polygenic component. The review of 26 CPO cases showed that a substantial proportion are syndromic.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.008 | 0.010 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".