Vitamin D Receptor Genotype and Bone Mineral Density in Caucasian Children with Congenital Hypothyroidism
Bibliographic record
Abstract
Recent studies in adults suggest that some of the genetic effects on bone mineral density (BMD) and bone turnover are related to allelic variation in the vitamin D receptor (VDR) genes. It has also been suggested in patients with hyperthyroidism that the VDR genotype might influence the risk of low BMD. We examined allelic influences of the VDR gene on BMD and metabolism in 42 children with congenital hypothyroidism (CH) aged 8.5 +/- 3.4 yr treated from the neonatal period and in whom we have previously demonstrated no detrimental effects to the skeleton of prolonged L-thyroxine therapy. The prevalence of the different VDR BsmI polymorphism in this population was as expected for Caucasian children (Bb heterozygote 52%, bb homozygote 31% and BB homozygote 17%). No relationship was found between VDR genotypes and BMD (SDS), nor between VDR genotypes and serum osteocalcin levels as markers of bone formation. However, urinary D-pyridinoline levels, as markers of bone resorption, were related to VDR genotypes (p<0.04). These data indicate that the VRD genotype does have some effect on bone metabolism in children with CH but the present results give no clear indication of a detrimental effect for any given VDR genotype, at least at the BsmI restriction site, on the bone mineralization of children with CH when adequately treated with thyroxine.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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".