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Record W4239056450 · doi:10.1161/hyp.36.suppl_1.718-d

Mapping of Two Quantitative Trait Loci (QTL) for Blood Pressure (BP) on Rat Chromosome (CHR.) 2 Using Congenic Strains by Telemetry

2000· article· en· W4239056450 on OpenAlexaff
Alan Y. Deng, Julie Dutil, Denis deBlois, Johanne Tremblay

Bibliographic record

VenueHypertension · 2000
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Mapping and Diversity in Plants and Animals
Canadian institutionsUniversité de MontréalCentre Hospitalier de l’Université de Montréal
Fundersnot available
KeywordsQuantitative trait locusCongenicBiologyLocus (genetics)ChromosomeGeneticsStrain (injury)GeneAnatomy

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.035
GPT teacher head0.259
Teacher spread0.225 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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