Fat mass and obesity-associated obesity-risk genotype is associated with lower foetal growth: an effect that is reversed in the offspring of smoking mothers
Bibliographic record
Abstract
Fat mass and obesity-associated (FTO) gene variants are associated with childhood and adult obesity; however, the influence of FTO polymorphisms on foetal growth is unknown. Associations between the FTO variant rs9939609 and the foetal growth trajectories, maternal pregnancy weight gain, anthropometric measures at birth and body mass index (BMI) at age 14 years were assessed in 1079 singleton-birth Australian Caucasians. Analyses were repeated in 3512 singleton-birth Dutch Caucasians. The rs9939609 obesity-risk AA genotype was associated with symmetrical intrauterine growth restriction; an effect reversed in mothers who smoked during pregnancy. The effect increased over time and was modified by maternal smoking for head circumference (P = 0.007), abdominal circumference (P = 0.007), femur length (P = 0.02) and estimated foetal weight (P = 0.001). The modification of the association between the AA genotype and birth anthropometrics by maternal smoking was consistent across birth weight (P = 0.01) and birth length (P = 0.04) and neonatal day 2 anthropometry. Consistent associations were replicated in the Generation R cohort. Maternal pregnancy weight gain matched the pattern of birth weight and was independent of placental weight. In adolescents, the AA genotype was associated with increased BMI-adjusted-for-age in males (P = 0.00009), but no effect was detected in females. A variant in the FTO gene influences foetal growth trajectories in the third trimester, early postnatal growth and adiposity in adolescence. Maternal smoking during pregnancy reversed the direction of association of rs9939609 on foetal growth, which was probably mediated by maternal energy intake. The detection of genetic variants associated with foetal growth has the potential to identify novel molecular mechanisms underlying growth and targeted early life intervention.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".