Parental and child genetic contributions to obesity traits in early life based on 83 loci validated in adults: the FAMILY study
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Summary Background The genetic influence on child obesity has not been fully elucidated. Objective This study investigated the parental and child contributions of 83 adult body mass index (BMI)‐associated single‐nucleotide polymorphisms (SNPs) to obesity‐related traits in children from birth to 5 years old. Methods A total of 1402 individuals were genotyped for 83 SNPs. An unweighted genetic risk score (GRS) was generated by the sum of BMI‐increasing alleles. Repeated weight and length/height were measured at birth, 1, 2, 3 and 5 years of age, and age‐specific and sex‐specific weight and BMI Z ‐scores were computed. Results The GRS was significantly associated with birthweight Z ‐score ( P = 0.03). It was also associated with weight/BMI Z ‐score gain between birth and 5 years old ( P = 0.02 and 6.77 × 10 −3 , respectively). In longitudinal analyses, the GRS was associated with weight and BMI Z ‐score from birth to 5 years ( P = 5.91 × 10 −3 and 5.08 × 10 −3 , respectively). The maternal effects of rs3736485 in DMXL2 on weight and BMI variation from birth to 5 years were significantly greater compared with the paternal effects by Z test ( P = 1.53 × 10 −6 and 3.75 × 10 −5 , respectively). Conclusions SNPs contributing to adult BMI exert their effect at birth and in early childhood. Parent‐of‐origin effects may occur in a limited subset of obesity predisposing SNPs.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it