Novel genes as primary triggers for polygenic hypertension
Bibliographic record
Abstract
OBJECTIVES: The discovery of causative genes leading to hypertension in animal models can reveal new mechanistic insights into blood pressure (BP) regulations. Previously, we isolated segments that harbor BP quantitative trait loci (QTLs) on rat chromosome 10 as defined by congenic strains made from crosses of inbred hypertensive Dahl salt-sensitive (DSS) and normotensive Lewis rats. The aim of the current study was to identify hypertension-causing genes for each QTL. METHODS: Molecular analysis was performed. RESULTS: A systematic and comprehensive molecular analysis divulged particular genes that carry nonconserved mutations. Specifically, the proline rich 11 gene is likely responsible for C10QTL5. C10QTL1 is one of five genes, namely Benzodiazepine receptor associated protein 1, Loc689764, myotubularin related protein 4, protein phosphatase 1E, PP2C domain containing and ring finger protein 43. Loc100363423 with no known function is a candidate for C10QTL3. The ATP-binding cassette, subfamily A (ABC1), member 8a gene is probably responsible for C10QTL2. CONCLUSIONS: Primary genes initiating polygenic hypertension are those not known to be involved in BP modulation. Novel pathways towards BP homeostasis appear to underlie the functionality of C10QTL5, C10QTL1 and C10QTL3 and C10QTL2. Moreover, these genes may become innovative targets for the diagnosis and therapeutics of essential hypertension.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".