A consideration of the evidence that genetic defects in planar cell polarity contribute to the etiology of human neural tube defects
Bibliographic record
Abstract
A variety of human birth defects originate in failure of closure of the embryonic neural tube. The genetic cause of the most common nonsyndromic defects, spina bifida (SB) or anencephaly, is considered to be combinations of variants at multiple genes. The genes contributing to the etiology of neural tube closure defects (NTDs) are unknown. Mutations in planar cell polarity (PCP) genes in mice cause a variety of defects including the NTD, craniorachischisis, and sometimes SB or exencephaly (EX); they also demonstrate the role of digenic combinations of PCP mutants in NTDs. Recent studies have sought rare predicted-to-be-deleterious alterations (putative mutations) in coding sequence of PCP genes in human cases with various anomalies of the neural tube. This review summarizes the cumulative results of these studies according to a framework based on the embryopathogenesis of NTDs, and considers some of the insights from the approaches used and the limitations. Rare putative mutations in the PCP genes VANGL2, SCRIB, DACT1, and CELSR1 cumulatively contributed to over 20% of cases with craniorachischisis, a rare defect; no contributing variants were found for PRICKLE1 or PTK7. PCP rare putative mutations had a weaker role in myelomeningocele (SB), being found in approximately 6% of cases and cumulated across CELSR1, FUZ, FZD6, PRICKLE1, VANGL1, and VANGL2. These results demonstrate that PCP gene alterations contribute to the etiology of human NTDs. We recommend that future research should explore other types of PCP gene variant such as regulatory mutations and low frequency (1 to 5%) deleterious polymorphisms.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".