Human Estrogen Receptor β 548 Is Not a Common Variant in Three Distinct Populations
Bibliographic record
Abstract
Several isoforms of estrogen receptor (ER) beta (also known as NR3A2) have been reported, including variants with different N-terminal ends. In rodents, two in-frame initiation codons (ATGs) are used to produce proteins of 530 and 549 amino acids, respectively. In humans, the upstream ATG is out of frame in all clones reported, until recently, when human clones with an extra A-T base pair placing the upstream ATG in frame were reported. The authors suggested that this could represent a novel polymorphism in the ERbeta gene. Because human ERbeta548 (hERbeta548) and hERbeta530 display different functional characteristics in vitro, it is of interest to determine if this variant constitutes a polymorphism in human populations. We therefore determined the frequency of this novel isoform in several populations including African (n = 96), Caucasian (n = 100), and Asian (n = 128) subjects using denaturing HPLC. We did not detect any alleles that correspond to hERbeta548 in these samples or in additional samples of heterogeneous origin. It is concluded that hERbeta548 is not a common variant in Africans, Caucasians, or Asians.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".