Associations of maternal cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1(CDKAL1) gene variants with adverse pregnancy outcome in Chinese women
Bibliographic record
Abstract
OBJECTIVE: To test associations of cyclin-dependent kinase 5 regulatory subunit-associated protein 1-like 1 (CDKAL1) gene variants with the risk of adverse pregnancy outcome in Chinese women and whether the association was mediated by occurrence of gestational diabetes mellitus. METHODS: We organized a 1:1 age-matched study nested within a prospective cohort of pregnant women (207 pairs) established in urban Tianjin. Adverse pregnancy outcome was defined as a composite outcome of preterm birth, low birth weight or macrosomia. Logistic regression analyses were used to estimate associations of CDKAL1 gene variants with adverse pregnancy outcome and its components. The CDKAL1 genetic marker was defined as encompassing any of the identified susceptibility variants for adverse pregnancy outcome. RESULTS: The CDKAL1 genetic marker was associated with the risk of adverse pregnancy outcome (OR: 2.51, 95%CI: 1.47, 4.28), low birth weight (OR: 19.80, 95%CI: 2.15, 182) and macrosomia (OR: 2.40, 95%CI: 1.17, 4.93), but not with preterm birth (P = 0.105) after adjusting for traditional risk factors. Further adjusting for gestational diabetes mellitus, the CDKAL1 genetic marker remained significantly associated with adverse pregnancy outcome, and the OR (95%CI) was 2.52 (1.48, 4.30). CONCLUSION: The maternal CDKAL1 gene variants were associated with increased risk of adverse pregnancy outcome, low birth weight and macrosomia, independent of gestational diabetes mellitus. CDKAL1 gene might be a useful marker for identification of individuals at a particularly high risk of adverse pregnancy outcome in early pregnancy.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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".