Mapping of Two Quantitative Trait Loci (QTL) for Blood Pressure (BP) on Rat Chromosome (CHR.) 2 Using Congenic Strains by Telemetry
Bibliographic record
Abstract
P141 We previously mapped a BP QTL on rat Chr. 2 near the Na,K-ATPase ( Atp1a1) locus in two congenic strains. In the strain, S.MNS- Adh / D2Mit5, the Dahl salt sensitive (S) Chr. region, which was replaced by that of the Milan normotensive (MNS) strain, was quite large (roughly 80 cM). Now, we made 6 substrains from the original S.MNS- Adh / D2Mit5 strain, and then measured BP by telemetry for two (and will continue to measure for the rest) substrains. These two substrains do not contain overlapping chromosome regions. One, S.MNS-D2Mit6 / D2Rat166 (S.MNS1) , encompasses the angiotensin receptor AT1B ( Agtr1b ) and the other substrain, S.MNS-D2Mit9/ Camk2d (S.MNS2) includes Atp1a 1. Both substrains showed a significant (p<0.0001) effect in reducing the mean arterial pressure (MAP) in mmHg (see graph). This proves the presence of a QTL around Agtr1b. The BP effects of these QTL from the two separate substrains appeared to exceed those of the same number of QTL combined in one strain. This implies that these individual QTL on the same chromosome interact epistatically with one another.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".