Variants near<i>CCNL1/LEKR1</i>and in<i>ADCY5</i>and Fetal Growth Characteristics in Different Trimesters
Bibliographic record
Abstract
CONTEXT: A recent genome-wide association study identified variants near CCNL1/LEKR1 (rs900400) and in ADCY5 (rs9883204) to be associated with birth weight. We examined the associations of these variants with fetal growth characteristics in different trimesters, with a main interest in the timing of the associations and the affected body proportions. METHODS: We used data from two prospective cohort studies from fetal life onward in The Netherlands and Australia. Repeated fetal ultrasound examinations were performed to measure head circumference (HC), abdominal circumference (AC), femur length (FL), and estimated fetal weight (EFW). Analyses were based on a total group of 3909 subjects. RESULTS: The C-allele of rs900400 was associated in second trimester with smaller fetal HC and FL, and in third trimester with smaller HC, AC, FL, and EFW. For each C-allele, the combined effect estimate for EFW in third trimester was -18.6 g (95% confidence interval, -27.5, -9.7 g; P = 4.2 × 10(-5)). The C-allele of rs9883204 was not associated with fetal growth characteristics in second trimester but was associated with restriction of all growth characteristics, except HC, in third trimester and at birth. For each C-allele, the combined effect estimate was -16.9 g (95% confidence interval, -26.8, -7.0 g; P = 8.4 × 10(-4)) for EFW in third trimester. Both genetic variants were associated with lower birth and placenta weight. CONCLUSIONS: Our results suggest that a genetic variant of rs900400 leads to symmetric growth restriction from early pregnancy onward, whereas a genetic variant of rs9883204 leads to asymmetric growth restriction, characterized by a relatively larger HC, from third trimester.
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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) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".