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Record W2102770026 · doi:10.1161/hy1001.091503

Two Linked Blood Pressure Quantitative Trait Loci on Chromosome 10 Defined by Dahl Rat Congenic Strains

2001· article· en· W2102770026 on OpenAlexfundno aff
Michael R. Garrett, Xiaotong Zhang, Oksana I. Dukhanina, Alan Y. Deng, John P. Rapp

Bibliographic record

VenueHypertension · 2001
Typearticle
Languageen
FieldMedicine
TopicAdipose Tissue and Metabolism
Canadian institutionsnot available
FundersNational Institutes of HealthMcMaster UniversityAmerican Heart Association
KeywordsQuantitative trait locusCongenicBiologyGeneticsChromosomeLocus (genetics)Genetic linkageFamily-based QTL mappingChromosome 4Chromosome 9GeneGene mapping

Abstract

fetched live from OpenAlex

Aquantitative trait locus (QTL) for blood pressure was previously detected on rat chromosome 10 (RNO10) by linkage analysis and confirmed by the construction of congenic strains that encompass large regions of RNO10. In the present study, the rat RNO10 blood pressure QTL was dissected by the further construction of congenic substrains. The original congenic region was shown to contain 2 blood pressure QTLs (QTL 1 and QTL 2) approximately 24 cM apart. These were localized to a <2.6-cM region between markers D10Rat27 and D10Rat24 for QTL 1 and to a <3.2-cM region between D10Rat12 and D10Mco70 for QTL 2. Comparative mapping suggests that the rat RNO10 QTL 2 could be localized very close to a blood pressure QTL described by sib-pair analysis on human chromosome 17, but this is not definitively established because of multiple and complex chromosomal rearrangements between rodents and humans.

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)0.000
metaresearch head score (Gemma)0.000
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
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.044
GPT teacher head0.288
Teacher spread0.244 · 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

Citations35
Published2001
Admission routes1
Has abstractyes

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