Lack of Association of Birth Size with Polymorphisms of Two Imprinted Genes, IGF2R and GRB10
Bibliographic record
Abstract
Little is known about the determinants of birth size variability among individuals. Maternal and nutritional factors have been studied, but familial clustering suggests genetic factors as well. As a first step in testing this hypothesis, we examined common sequence variants in IGF2R and GRB10, two genes involved in the regulation of growth and subject to parental imprinting. The IGF2R gene was scanned with five polymorphisms spanning the coding and 3'-UTR for possible association with birth size in a set of 97 normal newborns in Greece. In addition, a silent SNP in GRB10 exon 2 was similarly tested as an exploratory first step. Birth weight and length were compared between groups of newborns divided according to which allele they had received from heterozygous parents. No significant differences were found between alleles in either gene, examined either by parental origin or in aggregate. Thus, we found no evidence that IGF2R variants modulate intrauterine growth within the normal range. If such variants exist in GRB10, they are not in linkage disequilibrium with the marker studied.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".