Relationship of the Human Growth Hormone Receptor Exon 3 Genotype with Final Adult Height and Bone Mineral Density
Bibliographic record
Abstract
CONTEXT: Three recent clinical studies have reported that two of the most common isoforms of the human GH (hGH) receptor (hGHR), exon 3 full-length (3+) and exon 3 deleted (3-), may have differential effects on the growth response of children receiving hGH therapy, whereas others refute this. However, none of the investigations has explored the relationship between these hGHR isoforms and final adult height (FAH) or measures of bone mineral density (BMD) within a healthy adult population. OBJECTIVE: The aim of this study was to investigate the possible influences of hGHR exon 3 isoforms on FAH and BMD measures of a normal population. DESIGN: The study was designed to correlate the hGHR exon 3 genotype of a cohort of healthy adults with FAH, BMDs [spine (L2-L4) and hip (femoral neck)], and quantitative ultrasound (QUS) of the heel. PATIENTS: Participants were 368 unrelated healthy adult white women, aged 18-35 yr. MAIN OUTCOME MEASURES: We analyzed association of hGHR exon 3 genotypes with FAH, BMD, and QUS. Heights were measured using a stadiometer, BMDs using dual-energy x-ray absorptiometry, and QUS by standard technique. Detailed medical histories, including lifestyle factors, were obtained using a standardized interview. RESULTS: The distribution of hGHR genotypes in the 368 samples was 53.3% for 3+/3+, 35.6% for 3+/3-, and 11.1% for 3-/3-. There was no correlation between the hGHR exon 3 genotypes and FAH, BMD, or QUS in this cohort. CONCLUSION: The hGHR 3+ and 3- isoforms appear not to have differential effects on two major growth outcomes of hGH action, FAH, and BMD in a population of healthy adult women.
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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 | 0.000 | 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) | 0.003 | 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".